Udemy - Artificial Intelligence A-Z 2025 Agentic AI, Gen AI, and RL (3.2025)

磁力链接/BT种子名称

Udemy - Artificial Intelligence A-Z 2025 Agentic AI, Gen AI, and RL (3.2025)

磁力链接/BT种子简介

种子哈希：518f07259b6a5b83a4d7307d3463daf0496d26f5
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收录时间：2025-05-25
最近下载：2025-05-31

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文件列表

  • 08. Deep Q-Learning Implementation/20. Step 18 DQN Training Visualization - Dynamic Score Tracking Implementation.mp4 153.8 MB
  • 18. LLMs Implementation/7. Step 5 - Implementing SFTTrainer Memory-Efficient LLM Training with PEFT & LoRA.mp4 125.4 MB
  • 14. A3C Implementation/16. Step 14 A3C Training Loop with Progress Bar for Kung Fu AI Model.mp4 119.8 MB
  • 11. Deep Convolutional Q-Learning Implementation/13. Step 11 Optimizing DQN Training on V100 GPU - Setup to Solved Environment.mp4 114.8 MB
  • 20. Annex 1 Artificial Neural Networks/1. What is Deep Learning A Beginner's Guide to Artificial Neural Networks.mp4 107.9 MB
  • 18. LLMs Implementation/4. Loading LLaMA 2 Model Hugging Face Transformers & 4-bit Precision.mp4 104.7 MB
  • 18. LLMs Implementation/3. Installing & Importing Key Libraries for Fine-Tuning Llama 2 Models.mp4 102.6 MB
  • 21. Annex 2 Convolutional Neural Networks/5. Step 2 - Max Pooling in CNN How to Reduce Feature Maps & Prevent Overfitting.mp4 91.7 MB
  • 14. A3C Implementation/17. ChatGPT A3C Model PyTorch for KungFuMaster AI Optimization (Step 15).mp4 86.6 MB
  • 18. LLMs Implementation/9. Step 7 Chatting with Your Fine-Tuned Medical LLM via Text Generation.mp4 83.8 MB
  • 14. A3C Implementation/10. Step 8 Coding A3C Step Method in PyTorch - Complete Implementation Guide.mp4 80.7 MB
  • 21. Annex 2 Convolutional Neural Networks/2. CNN vs Human Vision How Convolutional Neural Networks Process Images.mp4 74.5 MB
  • 21. Annex 2 Convolutional Neural Networks/3. CNN Convolution Feature Detection & Feature Maps in Deep Learning.mp4 68.8 MB
  • 21. Annex 2 Convolutional Neural Networks/7. Step 4 CNN Classification - How FC Layers Process Features.mp4 61.4 MB
  • 14. A3C Implementation/9. A3C Agent Converting States to Actions with PyTorch Neural Networks.mp4 61.4 MB
  • 14. A3C Implementation/5. Step 3 - A3C Deep Reinforcement Learning Network Class & Architecture Design.mp4 61.3 MB
  • 04. Q-Learning Intuition/2. How Reinforcement Learning Works A Beginner's Guide to AI Training Methods.mp4 57.8 MB
  • 07. Deep Q-Learning Intuition/5. Q-Learning Guide to Epsilon-Greedy & Softmax Action Selection Algorithms.mp4 57.0 MB
  • 19. THANK YOU/1. THANK YOU Video.mp4 56.5 MB
  • 08. Deep Q-Learning Implementation/13. Step 11 DQN Step Method - Store & Learn from Experiences in Python.mp4 54.5 MB
  • 13. A3C Intuition/2. A3C Algorithm Tutorial Understanding Asynchronous Advantage Actor-Critic in AI.mp4 54.4 MB
  • 21. Annex 2 Convolutional Neural Networks/9. Understanding Softmax and Cross-Entropy Loss Functions in Neural Networks.mp4 54.0 MB
  • 04. Q-Learning Intuition/7. Living Penalty in Reinforcement Learning Optimize AI Agent Decision Making.mp4 52.6 MB
  • 08. Deep Q-Learning Implementation/19. Step 17 Deep Q-Learning Training Loop - Complete Lunar Lander Guide.mp4 52.5 MB
  • 08. Deep Q-Learning Implementation/14. Step 12 DQN Action Selection - State Processing to Policy Implementation.mp4 50.4 MB
  • 11. Deep Convolutional Q-Learning Implementation/4. Step 2 - Implementing DCQN Architecture in Python Setup & Neural Network Design.mp4 50.1 MB
  • 08. Deep Q-Learning Implementation/16. Step 14 - Deep Q-Network Implementation Soft Update Method for Stable Training.mp4 49.6 MB
  • 08. Deep Q-Learning Implementation/4. Google Colab Setup Deep Q-Learning for Lunar Lander Tutorial.mp4 47.9 MB
  • 08. Deep Q-Learning Implementation/12. DQN Tutorial Initialize Q-Networks, Optimizer & Replay Memory Buffer.mp4 46.3 MB
  • 20. Annex 1 Artificial Neural Networks/3. How Do Artificial Neurons Work A Complete Guide to Neural Network Basics.mp4 45.8 MB
  • 20. Annex 1 Artificial Neural Networks/6. How Do Neural Networks Learn Understanding Backpropagation & Cost Functions.mp4 45.4 MB
  • 18. LLMs Implementation/5. Loading & Configuring HuggingFace Tokenizer for LLaMA 2 Implementation.mp4 45.4 MB
  • 04. Q-Learning Intuition/3. Bellman Equation in Reinforcement Learning A Step-by-Step Introduction.mp4 44.8 MB
  • 14. A3C Implementation/4. A3C Algorithm Implementation Neural Network & Environment Setup.mp4 44.6 MB
  • 11. Deep Convolutional Q-Learning Implementation/11. Step 9 Deep Q-Learning to DCQN - Experience Replay & Memory Updates.mp4 43.2 MB
  • 11. Deep Convolutional Q-Learning Implementation/10. Image Preprocessing for Deep Q-Learning PIL & Torchvision Implementation.mp4 41.9 MB
  • 18. LLMs Implementation/8. Step 6 LoRA & Quantization for Efficient LLM Training in Medical Terms.mp4 40.2 MB
  • 07. Deep Q-Learning Intuition/4. Experience Replay in Deep Q-Learning How it Works & Why it Matters.mp4 40.0 MB
  • 13. A3C Intuition/5. How Does Advantage Work in Actor-Critic Methods A3C Algorithm Explained.mp4 38.9 MB
  • 04. Q-Learning Intuition/9. Temporal Difference in Q-Learning A Complete Guide for Reinforcement Learning.mp4 38.3 MB
  • 13. A3C Intuition/6. LSTM in A3C Algorithm How Memory Enhances Reinforcement Learning Performance.mp4 38.3 MB
  • 14. A3C Implementation/14. Step 12 Multi-Environment A3C - EnvBatch Class Implementation Tutorial.mp4 37.5 MB
  • 04. Q-Learning Intuition/5. Markov Decision Processes in Reinforcement Learning A Complete Guide.mp4 37.0 MB
  • 20. Annex 1 Artificial Neural Networks/5. How Do Neural Networks Work A Step-by-Step Property Valuation Example.mp4 36.9 MB
  • 13. A3C Intuition/4. Asynchronous Learning in A3C Shared Critics and Neural Networks Explained.mp4 36.7 MB
  • 11. Deep Convolutional Q-Learning Implementation/5. Step 3 Building CNNs - Creating AI's Visual Processing System.mp4 36.4 MB
  • 07. Deep Q-Learning Intuition/2. Deep Q-Learning vs Traditional Q-Learning Key Differences Explained.mp4 36.2 MB
  • 14. A3C Implementation/8. Step 6 A3C Agent Class Init Method for Deep Reinforcement Learning.mp4 35.8 MB
  • 14. A3C Implementation/13. Step 11 EnvBatch Class for A3C Multi-Environment Training in Python.mp4 35.5 MB
  • 14. A3C Implementation/12. Implementing A3C Agent Evaluation in Python Deep RL Tutorial Step 10.mp4 35.5 MB
  • 11. Deep Convolutional Q-Learning Implementation/12. Step 10 Implementing DCQN Agent - Deep Q-Learning Adaptation & Methods.mp4 34.8 MB
  • 14. A3C Implementation/3. A3C Deep RL Setting Up Kung Fu Master Environment in Atari.mp4 33.1 MB
  • 14. A3C Implementation/6. A3C Algorithm Building Action & State Value Outputs - Step 4.mp4 33.1 MB
  • 11. Deep Convolutional Q-Learning Implementation/8. Step 6 Configuring Miss Pacman for Deep Q-Learning Training.mp4 32.4 MB
  • 08. Deep Q-Learning Implementation/15. Step 13 Deep Q-Network Training - Implementing Learn Method for RL.mp4 31.4 MB
  • 08. Deep Q-Learning Implementation/11. Step 9 Coding DQN Memory Sampling - PyTorch Experience Replay Tutorial.mp4 30.8 MB
  • 04. Q-Learning Intuition/8. Q-Learning in Reinforcement Learning From V-Values to Q-Values Explained.mp4 30.7 MB
  • 08. Deep Q-Learning Implementation/21. Step 19 Visualizing Deep Q-Learning - AI Perfects Lunar Lander Landing.mp4 29.0 MB
  • 17. LLMs Intuition/1. Introduction to Large Language Models (LLMs) Transformers Explained.mp4 28.7 MB
  • 11. Deep Convolutional Q-Learning Implementation/3. Deep Q-Learning Setting Up Pac-Man in OpenAI Gym - Step 1.mp4 28.7 MB
  • 04. Q-Learning Intuition/6. RL Tutorial Optimal Policy vs Fixed Plans in AI Decision Making.mp4 28.3 MB
  • 08. Deep Q-Learning Implementation/3. Step 1 - Deep Q-Learning Environment Setup From Gmail to Lunar Lander Training.mp4 27.3 MB
  • 20. Annex 1 Artificial Neural Networks/7. Understanding Gradient Descent Optimize Neural Network Weights Efficiently.mp4 26.9 MB
  • 08. Deep Q-Learning Implementation/5. Step 3 - PyTorch DQN Architecture Building the AI Brain for OpenAI Lunar Lander.mp4 25.8 MB
  • 10. Deep Convolutional Q-Learning Intuition/2. Deep Convolutional Q-Learning Build AI Agents for Game Environments.mp4 25.6 MB
  • 18. LLMs Implementation/6. Step 4 - Setting Training Arguments for LLM Fine-Tuning in Transformers Library.mp4 24.5 MB
  • 17. LLMs Intuition/8. Fine-Tuning Large Language Models Real-World Applications and Use Cases.mp4 24.2 MB
  • 20. Annex 1 Artificial Neural Networks/8. Stochastic Gradient Descent vs Batch Gradient Descent What's the Difference.mp4 22.7 MB
  • 13. A3C Intuition/3. Actor-Critic Algorithm From Deep Q-Learning to A3C Implementation.mp4 22.3 MB
  • 21. Annex 2 Convolutional Neural Networks/4. ReLU in CNN Understanding Non-Linearity for Deep Learning.mp4 21.6 MB
  • 14. A3C Implementation/7. A3C Algorithm PreprocessAtari Class & Hyperparameter Tuning Setup.mp4 21.5 MB
  • 11. Deep Convolutional Q-Learning Implementation/7. Step 5 Deep Q-Learning - Building AI's Visual Processing System.mp4 21.0 MB
  • 14. A3C Implementation/15. Step 13 A3C Training - Multi-Environment Batch Setup Implementation.mp4 20.2 MB
  • 17. LLMs Intuition/5. How Do Large Language Models Work A Deep Dive into LLM Architecture.mp4 19.3 MB
  • 11. Deep Convolutional Q-Learning Implementation/15. Step 13 Deep Q-Learning - Optimizing Neural Networks with GPT-4.mp4 19.0 MB
  • 20. Annex 1 Artificial Neural Networks/4. Neural Network Activation Functions ReLU, Sigmoid, Tanh & Threshold Explained.mp4 18.1 MB
  • 08. Deep Q-Learning Implementation/7. Step 5 - Configure LunarLander-v2 Environment Parameters for DQN Training.mp4 17.6 MB
  • 10. Deep Convolutional Q-Learning Intuition/3. Deep Q-Learning vs Eligibility Trace AI Algorithm Comparison & Guide.mp4 17.0 MB
  • 11. Deep Convolutional Q-Learning Implementation/6. CNN Architecture Adding Fully Connected Layers After Convolutional Layers.mp4 16.3 MB
  • 07. Deep Q-Learning Intuition/3. How Deep Q-Learning Works Neural Networks & Reinforcement Learning Explained.mp4 15.3 MB
  • 17. LLMs Intuition/2. Building Large Language Models Essential Ingredients for LLM Development.mp4 14.8 MB
  • 20. Annex 1 Artificial Neural Networks/9. Backpropagation in Neural Networks Step-by-Step Training Guide.mp4 14.7 MB
  • 08. Deep Q-Learning Implementation/18. Step 16 - Epsilon-Greedy Strategy Initializing AI Training Hyperparameters.mp4 14.1 MB
  • 08. Deep Q-Learning Implementation/17. Step 15 Creating Your First AI Agent - Deep Q-Network (DQN) Tutorial.mp4 13.8 MB
  • 11. Deep Convolutional Q-Learning Implementation/14. Step 12 Visualizing Deep Q-Learning - Watch AI Play Pac-Man Like a Human.mp4 13.6 MB
  • 18. LLMs Implementation/1. Fine-Tuning LLMs for Medical Chatbots A Practical Guide with Hugging Face.mp4 13.5 MB
  • 15. ---------- Part 4 - PPO and SAC ----------/1. AWS DeepRacer Training Autonomous Vehicles with PPO and SAC Algorithms.mp4 13.4 MB
  • 08. Deep Q-Learning Implementation/6. PyTorch Deep Q-Learning Implementing Forward Method for Neural Nets.mp4 13.0 MB
  • 14. A3C Implementation/11. Step 9 - How to Initialize an A3C Agent in Python Creating the Agent Instance.mp4 12.3 MB
  • 08. Deep Q-Learning Implementation/22. ChatGPT vs Custom DQN Comparing Deep RL Implementations.mp4 11.9 MB
  • 17. LLMs Intuition/4. Understanding Next Word Prediction How LLMs Process Text One Word at a Time.mp4 11.6 MB
  • 21. Annex 2 Convolutional Neural Networks/8. CNN Architecture Explained Feature Detection to Neural Network Classification.mp4 11.3 MB
  • 14. A3C Implementation/1. A3C Reinforcement Learning Tutorial Building AI for Kung Fu Master Environment.mp4 10.9 MB
  • 08. Deep Q-Learning Implementation/1. How to Train an AI Lunar Lander using Deep Q-Learning and Python.mp4 10.8 MB
  • 17. LLMs Intuition/6. What Are LLM Parameters Understanding Large Language Model Size Explained.mp4 10.8 MB
  • 01. Welcome to the course!/2. How to Build Your First AI Chatbot Using AWS PartyRock No Coding Required.mp4 9.9 MB
  • 08. Deep Q-Learning Implementation/8. DQN Hyperparameters Learning Rate & Replay Buffer Setup Guide (Step 6).mp4 9.1 MB
  • 04. Q-Learning Intuition/4. From State Values to Optimal Plans Bellman Equation in AI Decision Making.mp4 8.6 MB
  • 08. Deep Q-Learning Implementation/10. Step 8 DQN Push Method - Adding Experiences to Replay Memory Buffer.mp4 8.0 MB
  • 11. Deep Convolutional Q-Learning Implementation/1. Deep Q-Learning Build AI Pac-Man with Convolutional Neural Networks.mp4 7.7 MB
  • 17. LLMs Intuition/3. How Were Large Language Models Invented Origins of Transformer AI.mp4 7.1 MB
  • 08. Deep Q-Learning Implementation/9. Step 7 Implementing Experience Replay Memory in DQN with Python.mp4 6.9 MB
  • 21. Annex 2 Convolutional Neural Networks/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4 6.5 MB
  • 17. LLMs Intuition/7. Context Windows Explained How LLMs Remember Conversation History.mp4 6.4 MB
  • 13. A3C Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4 5.2 MB
  • 10. Deep Convolutional Q-Learning Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4 5.2 MB
  • 20. Annex 1 Artificial Neural Networks/2. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4 5.0 MB
  • 11. Deep Convolutional Q-Learning Implementation/9. Step 7 Deep Q-Learning Hyperparameters - Learning Rate & Batch Size Setup.mp4 4.9 MB
  • 07. Deep Q-Learning Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4 3.7 MB
  • 04. Q-Learning Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4 3.6 MB
  • 21. Annex 2 Convolutional Neural Networks/6. Step 3 - CNN Feature Map Flattening From Pooling Layer to Neural Network Input.mp4 3.3 MB
  • 22. Congratulations!! Don't forget your Prize )/2. 2025-01-10_09-20-17-ac766710651c6ae3718f7bc4dccb07f8.png 190.3 kB
  • 14. A3C Implementation/16. Step 14 A3C Training Loop with Progress Bar for Kung Fu AI Model.vtt 32.2 kB
  • 04. Q-Learning Intuition/3. Bellman Equation in Reinforcement Learning A Step-by-Step Introduction.vtt 32.2 kB
  • 08. Deep Q-Learning Implementation/20. Step 18 DQN Training Visualization - Dynamic Score Tracking Implementation.vtt 32.1 kB
  • 21. Annex 2 Convolutional Neural Networks/7. Step 4 CNN Classification - How FC Layers Process Features.vtt 31.1 kB
  • 04. Q-Learning Intuition/9. Temporal Difference in Q-Learning A Complete Guide for Reinforcement Learning.vtt 30.9 kB
  • 14. A3C Implementation/10. Step 8 Coding A3C Step Method in PyTorch - Complete Implementation Guide.vtt 29.2 kB
  • 04. Q-Learning Intuition/5. Markov Decision Processes in Reinforcement Learning A Complete Guide.vtt 28.4 kB
  • 20. Annex 1 Artificial Neural Networks/3. How Do Artificial Neurons Work A Complete Guide to Neural Network Basics.vtt 26.8 kB
  • 07. Deep Q-Learning Intuition/5. Q-Learning Guide to Epsilon-Greedy & Softmax Action Selection Algorithms.vtt 26.4 kB
  • 21. Annex 2 Convolutional Neural Networks/9. Understanding Softmax and Cross-Entropy Loss Functions in Neural Networks.vtt 26.3 kB
  • 13. A3C Intuition/6. LSTM in A3C Algorithm How Memory Enhances Reinforcement Learning Performance.vtt 25.8 kB
  • 07. Deep Q-Learning Intuition/4. Experience Replay in Deep Q-Learning How it Works & Why it Matters.vtt 25.7 kB
  • 13. A3C Intuition/5. How Does Advantage Work in Actor-Critic Methods A3C Algorithm Explained.vtt 25.0 kB
  • 21. Annex 2 Convolutional Neural Networks/3. CNN Convolution Feature Detection & Feature Maps in Deep Learning.vtt 24.9 kB
  • 07. Deep Q-Learning Intuition/2. Deep Q-Learning vs Traditional Q-Learning Key Differences Explained.vtt 24.2 kB
  • 04. Q-Learning Intuition/8. Q-Learning in Reinforcement Learning From V-Values to Q-Values Explained.vtt 23.7 kB
  • 21. Annex 2 Convolutional Neural Networks/2. CNN vs Human Vision How Convolutional Neural Networks Process Images.vtt 23.5 kB
  • 21. Annex 2 Convolutional Neural Networks/5. Step 2 - Max Pooling in CNN How to Reduce Feature Maps & Prevent Overfitting.vtt 23.2 kB
  • 04. Q-Learning Intuition/6. RL Tutorial Optimal Policy vs Fixed Plans in AI Decision Making.vtt 23.0 kB
  • 14. A3C Implementation/17. ChatGPT A3C Model PyTorch for KungFuMaster AI Optimization (Step 15).vtt 22.7 kB
  • 18. LLMs Implementation/7. Step 5 - Implementing SFTTrainer Memory-Efficient LLM Training with PEFT & LoRA.vtt 22.1 kB
  • 11. Deep Convolutional Q-Learning Implementation/13. Step 11 Optimizing DQN Training on V100 GPU - Setup to Solved Environment.vtt 21.6 kB
  • 20. Annex 1 Artificial Neural Networks/6. How Do Neural Networks Learn Understanding Backpropagation & Cost Functions.vtt 20.8 kB
  • 04. Q-Learning Intuition/10.1 Quiz 1.html 20.5 kB
  • 04. Q-Learning Intuition/2. How Reinforcement Learning Works A Beginner's Guide to AI Training Methods.vtt 20.5 kB
  • 20. Annex 1 Artificial Neural Networks/5. How Do Neural Networks Work A Step-by-Step Property Valuation Example.vtt 20.4 kB
  • 20. Annex 1 Artificial Neural Networks/1. What is Deep Learning A Beginner's Guide to Artificial Neural Networks.vtt 20.1 kB
  • 13. A3C Intuition/4. Asynchronous Learning in A3C Shared Critics and Neural Networks Explained.vtt 20.0 kB
  • 18. LLMs Implementation/4. Loading LLaMA 2 Model Hugging Face Transformers & 4-bit Precision.vtt 19.9 kB
  • 14. A3C Implementation/5. Step 3 - A3C Deep Reinforcement Learning Network Class & Architecture Design.vtt 19.7 kB
  • 11. Deep Convolutional Q-Learning Implementation/5. Step 3 Building CNNs - Creating AI's Visual Processing System.vtt 18.9 kB
  • 14. A3C Implementation/9. A3C Agent Converting States to Actions with PyTorch Neural Networks.vtt 18.8 kB
  • 14. A3C Implementation/14. Step 12 Multi-Environment A3C - EnvBatch Class Implementation Tutorial.vtt 17.8 kB
  • 18. LLMs Implementation/9. Step 7 Chatting with Your Fine-Tuned Medical LLM via Text Generation.vtt 17.3 kB
  • 14. A3C Implementation/12. Implementing A3C Agent Evaluation in Python Deep RL Tutorial Step 10.vtt 16.7 kB
  • 11. Deep Convolutional Q-Learning Implementation/11. Step 9 Deep Q-Learning to DCQN - Experience Replay & Memory Updates.vtt 16.5 kB
  • 18. LLMs Implementation/3. Installing & Importing Key Libraries for Fine-Tuning Llama 2 Models.vtt 16.3 kB
  • 08. Deep Q-Learning Implementation/19. Step 17 Deep Q-Learning Training Loop - Complete Lunar Lander Guide.vtt 16.0 kB
  • 04. Q-Learning Intuition/7. Living Penalty in Reinforcement Learning Optimize AI Agent Decision Making.vtt 15.1 kB
  • 08. Deep Q-Learning Implementation/14. Step 12 DQN Action Selection - State Processing to Policy Implementation.vtt 15.0 kB
  • 10. Deep Convolutional Q-Learning Intuition/3. Deep Q-Learning vs Eligibility Trace AI Algorithm Comparison & Guide.vtt 14.8 kB
  • 20. Annex 1 Artificial Neural Networks/7. Understanding Gradient Descent Optimize Neural Network Weights Efficiently.vtt 14.8 kB
  • 08. Deep Q-Learning Implementation/15. Step 13 Deep Q-Network Training - Implementing Learn Method for RL.vtt 14.6 kB
  • 08. Deep Q-Learning Implementation/5. Step 3 - PyTorch DQN Architecture Building the AI Brain for OpenAI Lunar Lander.vtt 14.2 kB
  • 14. A3C Implementation/6. A3C Algorithm Building Action & State Value Outputs - Step 4.vtt 14.1 kB
  • 20. Annex 1 Artificial Neural Networks/8. Stochastic Gradient Descent vs Batch Gradient Descent What's the Difference.vtt 13.5 kB
  • 20. Annex 1 Artificial Neural Networks/4. Neural Network Activation Functions ReLU, Sigmoid, Tanh & Threshold Explained.vtt 13.1 kB
  • 08. Deep Q-Learning Implementation/12. DQN Tutorial Initialize Q-Networks, Optimizer & Replay Memory Buffer.vtt 13.0 kB
  • 11. Deep Convolutional Q-Learning Implementation/10. Image Preprocessing for Deep Q-Learning PIL & Torchvision Implementation.vtt 13.0 kB
  • 08. Deep Q-Learning Implementation/11. Step 9 Coding DQN Memory Sampling - PyTorch Experience Replay Tutorial.vtt 12.9 kB
  • 11. Deep Convolutional Q-Learning Implementation/12. Step 10 Implementing DCQN Agent - Deep Q-Learning Adaptation & Methods.vtt 12.9 kB
  • 18. LLMs Implementation/5. Loading & Configuring HuggingFace Tokenizer for LLaMA 2 Implementation.vtt 12.9 kB
  • 14. A3C Implementation/13. Step 11 EnvBatch Class for A3C Multi-Environment Training in Python.vtt 12.7 kB
  • 08. Deep Q-Learning Implementation/13. Step 11 DQN Step Method - Store & Learn from Experiences in Python.vtt 12.4 kB
  • 11. Deep Convolutional Q-Learning Implementation/7. Step 5 Deep Q-Learning - Building AI's Visual Processing System.vtt 12.3 kB
  • 08. Deep Q-Learning Implementation/3. Step 1 - Deep Q-Learning Environment Setup From Gmail to Lunar Lander Training.vtt 12.1 kB
  • 10. Deep Convolutional Q-Learning Intuition/2. Deep Convolutional Q-Learning Build AI Agents for Game Environments.vtt 12.1 kB
  • 14. A3C Implementation/8. Step 6 A3C Agent Class Init Method for Deep Reinforcement Learning.vtt 12.0 kB
  • 14. A3C Implementation/3. A3C Deep RL Setting Up Kung Fu Master Environment in Atari.vtt 11.3 kB
  • 13. A3C Intuition/3. Actor-Critic Algorithm From Deep Q-Learning to A3C Implementation.vtt 11.2 kB
  • 14. A3C Implementation/4. A3C Algorithm Implementation Neural Network & Environment Setup.vtt 11.2 kB
  • 08. Deep Q-Learning Implementation/4. Google Colab Setup Deep Q-Learning for Lunar Lander Tutorial.vtt 11.0 kB
  • 07. Deep Q-Learning Intuition/3. How Deep Q-Learning Works Neural Networks & Reinforcement Learning Explained.vtt 10.7 kB
  • 08. Deep Q-Learning Implementation/16. Step 14 - Deep Q-Network Implementation Soft Update Method for Stable Training.vtt 10.7 kB
  • 18. LLMs Implementation/8. Step 6 LoRA & Quantization for Efficient LLM Training in Medical Terms.vtt 10.2 kB
  • 21. Annex 2 Convolutional Neural Networks/4. ReLU in CNN Understanding Non-Linearity for Deep Learning.vtt 9.8 kB
  • 14. A3C Implementation/7. A3C Algorithm PreprocessAtari Class & Hyperparameter Tuning Setup.vtt 9.8 kB
  • 11. Deep Convolutional Q-Learning Implementation/15. Step 13 Deep Q-Learning - Optimizing Neural Networks with GPT-4.vtt 9.1 kB
  • 08. Deep Q-Learning Implementation/22. ChatGPT vs Custom DQN Comparing Deep RL Implementations.vtt 9.0 kB
  • 08. Deep Q-Learning Implementation/7. Step 5 - Configure LunarLander-v2 Environment Parameters for DQN Training.vtt 9.0 kB
  • 01. Welcome to the course!/2. How to Build Your First AI Chatbot Using AWS PartyRock No Coding Required.vtt 8.9 kB
  • 11. Deep Convolutional Q-Learning Implementation/4. Step 2 - Implementing DCQN Architecture in Python Setup & Neural Network Design.vtt 8.8 kB
  • 08. Deep Q-Learning Implementation/21. Step 19 Visualizing Deep Q-Learning - AI Perfects Lunar Lander Landing.vtt 8.8 kB
  • 08. Deep Q-Learning Implementation/18. Step 16 - Epsilon-Greedy Strategy Initializing AI Training Hyperparameters.vtt 8.8 kB
  • 18. LLMs Implementation/6. Step 4 - Setting Training Arguments for LLM Fine-Tuning in Transformers Library.vtt 8.6 kB
  • 20. Annex 1 Artificial Neural Networks/9. Backpropagation in Neural Networks Step-by-Step Training Guide.vtt 7.8 kB
  • 17. LLMs Intuition/5. How Do Large Language Models Work A Deep Dive into LLM Architecture.vtt 7.8 kB
  • 11. Deep Convolutional Q-Learning Implementation/3. Deep Q-Learning Setting Up Pac-Man in OpenAI Gym - Step 1.vtt 7.7 kB
  • 11. Deep Convolutional Q-Learning Implementation/6. CNN Architecture Adding Fully Connected Layers After Convolutional Layers.vtt 7.6 kB
  • 13. A3C Intuition/2. A3C Algorithm Tutorial Understanding Asynchronous Advantage Actor-Critic in AI.vtt 7.2 kB
  • 11. Deep Convolutional Q-Learning Implementation/14. Step 12 Visualizing Deep Q-Learning - Watch AI Play Pac-Man Like a Human.vtt 7.1 kB
  • 08. Deep Q-Learning Implementation/6. PyTorch Deep Q-Learning Implementing Forward Method for Neural Nets.vtt 6.7 kB
  • 08. Deep Q-Learning Implementation/8. DQN Hyperparameters Learning Rate & Replay Buffer Setup Guide (Step 6).vtt 6.6 kB
  • 11. Deep Convolutional Q-Learning Implementation/8. Step 6 Configuring Miss Pacman for Deep Q-Learning Training.vtt 6.5 kB
  • 21. Annex 2 Convolutional Neural Networks/8. CNN Architecture Explained Feature Detection to Neural Network Classification.vtt 6.5 kB
  • 14. A3C Implementation/15. Step 13 A3C Training - Multi-Environment Batch Setup Implementation.vtt 6.2 kB
  • 04. Q-Learning Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt 6.2 kB
  • 13. A3C Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt 5.7 kB
  • 21. Annex 2 Convolutional Neural Networks/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt 5.7 kB
  • 10. Deep Convolutional Q-Learning Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt 5.6 kB
  • 08. Deep Q-Learning Implementation/10. Step 8 DQN Push Method - Adding Experiences to Replay Memory Buffer.vtt 5.2 kB
  • 07. Deep Q-Learning Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt 4.8 kB
  • 17. LLMs Intuition/2. Building Large Language Models Essential Ingredients for LLM Development.vtt 4.7 kB
  • 17. LLMs Intuition/8. Fine-Tuning Large Language Models Real-World Applications and Use Cases.vtt 4.6 kB
  • 17. LLMs Intuition/4. Understanding Next Word Prediction How LLMs Process Text One Word at a Time.vtt 4.6 kB
  • 08. Deep Q-Learning Implementation/9. Step 7 Implementing Experience Replay Memory in DQN with Python.vtt 4.4 kB
  • 20. Annex 1 Artificial Neural Networks/2. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt 4.4 kB
  • 04. Q-Learning Intuition/4. From State Values to Optimal Plans Bellman Equation in AI Decision Making.vtt 3.9 kB
  • 11. Deep Convolutional Q-Learning Implementation/9. Step 7 Deep Q-Learning Hyperparameters - Learning Rate & Batch Size Setup.vtt 3.6 kB
  • 08. Deep Q-Learning Implementation/17. Step 15 Creating Your First AI Agent - Deep Q-Network (DQN) Tutorial.vtt 3.5 kB
  • 17. LLMs Intuition/6. What Are LLM Parameters Understanding Large Language Model Size Explained.vtt 3.3 kB
  • 17. LLMs Intuition/7. Context Windows Explained How LLMs Remember Conversation History.vtt 3.3 kB
  • 14. A3C Implementation/11. Step 9 - How to Initialize an A3C Agent in Python Creating the Agent Instance.vtt 3.2 kB
  • 18. LLMs Implementation/1. Fine-Tuning LLMs for Medical Chatbots A Practical Guide with Hugging Face.vtt 3.0 kB
  • 21. Annex 2 Convolutional Neural Networks/6. Step 3 - CNN Feature Map Flattening From Pooling Layer to Neural Network Input.vtt 2.9 kB
  • 17. LLMs Intuition/1. Introduction to Large Language Models (LLMs) Transformers Explained.vtt 2.9 kB
  • 15. ---------- Part 4 - PPO and SAC ----------/1. AWS DeepRacer Training Autonomous Vehicles with PPO and SAC Algorithms.vtt 2.7 kB
  • 19. THANK YOU/1. THANK YOU Video.vtt 2.7 kB
  • 18. LLMs Implementation/2. Get the Codes here.html 2.5 kB
  • 14. A3C Implementation/1. A3C Reinforcement Learning Tutorial Building AI for Kung Fu Master Environment.vtt 2.4 kB
  • 11. Deep Convolutional Q-Learning Implementation/1. Deep Q-Learning Build AI Pac-Man with Convolutional Neural Networks.vtt 2.3 kB
  • 15. ---------- Part 4 - PPO and SAC ----------/2. Build and Train the PPO and SAC models for a Self-Driving Car! Theory included.html 2.2 kB
  • 08. Deep Q-Learning Implementation/1. How to Train an AI Lunar Lander using Deep Q-Learning and Python.vtt 2.2 kB
  • 17. LLMs Intuition/3. How Were Large Language Models Invented Origins of Transformer AI.vtt 2.1 kB
  • 22. Congratulations!! Don't forget your Prize )/2. Bonus How To UNLOCK Top Salaries (Live Training).html 1.8 kB
  • 02. Agentic AI/1. Build a Cloud-powered AI Agent for Business Assistance, completely from scratch!.html 1.6 kB
  • 18. LLMs Implementation/10. Build a RAG-powered Generative AI application with Knowledge Bases, from scratch.html 1.6 kB
  • 05. Q-Learning Implementation/1. A Q-Learning Implementation for Process Optimization.html 1.5 kB
  • 03. ---------- Part 0 - Fundamentals Of Reinforcement Learning ----------/1. Welcome to Part 0 - Fundamentals of Reinforcement Learning.html 1.3 kB
  • 06. ---------- Part 1 - Deep Q-Learning ----------/1. Welcome to Part 1 - Deep Q-Learning.html 1.1 kB
  • 16. ---------- Part 5 - Intro to Large Language Models (LLMs) ----------/1. Welcome to Part 5 - Intro to Large Language Models (LLMs).html 749 Bytes
  • 09. ---------- Part 2 - Deep Convolutional Q-Learning ----------/1. Welcome to Part 2 - Deep Convolutional Q-Learning.html 661 Bytes
  • 12. ---------- Part 3 - A3C ----------/1. Welcome to Part 3 - A3C.html 522 Bytes
  • 08. Deep Q-Learning Implementation/2. Get the Codes here.html 430 Bytes
  • 11. Deep Convolutional Q-Learning Implementation/2. Get the Codes here.html 430 Bytes
  • 14. A3C Implementation/2. Get the Codes here.html 430 Bytes
  • 01. Welcome to the course!/3. Prizes $$ for Learning.html 383 Bytes
  • 01. Welcome to the course!/1. Get the Course Materials!.html 368 Bytes
  • 22. Congratulations!! Don't forget your Prize )/1. Find Your Career Path!.html 204 Bytes
  • 08. Deep Q-Learning Implementation/2. Deep-Q-Learning.txt 42 Bytes
  • 11. Deep Convolutional Q-Learning Implementation/2. Deep-Convolutional-Q-Learning.txt 40 Bytes
  • 08. Deep Q-Learning Implementation/21. AI-Landing.txt 39 Bytes
  • 05. Q-Learning Implementation/1. A-Q-Learning-Implementation-for-Process-Optimization.txt 38 Bytes
  • 11. Deep Convolutional Q-Learning Implementation/14. Video-of-AI-playing-Pac-Man-like-a-human.txt 38 Bytes
  • 14. A3C Implementation/16. Video-of-Kung-Fu-AI-Model.txt 38 Bytes
  • 15. ---------- Part 4 - PPO and SAC ----------/2. PPO-and-SAC-Models.txt 38 Bytes
  • 18. LLMs Implementation/2. Extra-part-LLMs.txt 33 Bytes
  • 14. A3C Implementation/2. A3C-Reinforcement-Learning.txt 32 Bytes

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