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[ DevCourseWeb.com ] Udemy - Hands-On Introduction To Artificial Intelligence(Ai)
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[ DevCourseWeb.com ] Udemy - Hands-On Introduction To Artificial Intelligence(Ai)
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2024-01-19
最近下载:
2025-05-29
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文件列表
~Get Your Files Here !/6 - Recurrent Neural Network RNN with Mathworks/64 - Japanese Vowels classification with LSTM Walk through of Mathworks example.mp4
128.9 MB
~Get Your Files Here !/5 - Convolutional Neural Networks CNN with IBM Watson/59 - Optimizing CNN for MNIST.mp4
112.2 MB
~Get Your Files Here !/5 - Convolutional Neural Networks CNN with IBM Watson/56 - CNN Setup and First Run with MNIST example Part 1.mp4
92.4 MB
~Get Your Files Here !/6 - Recurrent Neural Network RNN with Mathworks/65 - Classification of human activities with LSTM Walk through of Mathworks example.mp4
89.7 MB
~Get Your Files Here !/5 - Convolutional Neural Networks CNN with IBM Watson/60 - CNN for CIFAR 10.mp4
89.2 MB
~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/47 - Building a Regressive Feed Forward Neural NetworkFFNN Unsupervised.mp4
78.4 MB
~Get Your Files Here !/1 - Introduction/7 - AI Computer Vision and Applications.mp4
78.2 MB
~Get Your Files Here !/5 - Convolutional Neural Networks CNN with IBM Watson/61 - Optimization options for CNN on CIFAR 10.mp4
75.8 MB
~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/51 - Building a Regressive FFNN with different learning Rates and Epochs.mp4
74.5 MB
~Get Your Files Here !/3 - Natural Language Processing NLP with IBM Watson/41 - IBM Watson Semantic extraction.mp4
71.3 MB
~Get Your Files Here !/5 - Convolutional Neural Networks CNN with IBM Watson/57 - CNN Setup and First Run with MNIST example Part 2.mp4
68.5 MB
~Get Your Files Here !/1 - Introduction/14 - Learning Phase Feed Forward Neural Networks FFNN.mp4
67.8 MB
~Get Your Files Here !/1 - Introduction/8 - AI IOT and Applications.mp4
65.3 MB
~Get Your Files Here !/1 - Introduction/27 - Who will loose to AI.mp4
62.7 MB
~Get Your Files Here !/2 - IBM Watson Supervised and Unsupervised Machine Learning Models/35 - Supervised Building a Multi class classificationML model end to end.mp4
53.5 MB
~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/45 - Building a Deep Feed Forward Neural Network Supervised.mp4
48.6 MB
~Get Your Files Here !/2 - IBM Watson Supervised and Unsupervised Machine Learning Models/34 - Supervised Training and testing your model using logistic regression.mp4
43.5 MB
~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/52 - Performance Analysis of Feed Forward Neural Networks.mp4
43.5 MB
~Get Your Files Here !/2 - IBM Watson Supervised and Unsupervised Machine Learning Models/31 - Approach to building machine learning Models.mp4
42.7 MB
~Get Your Files Here !/3 - Natural Language Processing NLP with IBM Watson/39 - IBM Watson Text to Speech.mp4
42.6 MB
~Get Your Files Here !/1 - Introduction/6 - AI Natural Language Processing and Applications.mp4
39.1 MB
~Get Your Files Here !/5 - Convolutional Neural Networks CNN with IBM Watson/62 - CNN Unconverging Experiments.mp4
38.9 MB
~Get Your Files Here !/2 - IBM Watson Supervised and Unsupervised Machine Learning Models/36 - Unsupervised Building a RegressiveML Model end to end.mp4
37.7 MB
~Get Your Files Here !/5 - Convolutional Neural Networks CNN with IBM Watson/58 - CNN for MNIST with SGD.mp4
37.7 MB
~Get Your Files Here !/5 - Convolutional Neural Networks CNN with IBM Watson/53 - Section Introduction and data.mp4
37.1 MB
~Get Your Files Here !/3 - Natural Language Processing NLP with IBM Watson/40 - IBM Watson Speech to Text.mp4
35.1 MB
~Get Your Files Here !/1 - Introduction/21 - Recurrent Neural Network RNN.mp4
33.7 MB
~Get Your Files Here !/2 - IBM Watson Supervised and Unsupervised Machine Learning Models/32 - Account Setup and Configuration.mp4
33.6 MB
~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/49 - Building a DEEP Regressive FFNN Unsupervised.mp4
33.5 MB
~Get Your Files Here !/5 - Convolutional Neural Networks CNN with IBM Watson/55 - IBM Watson Account Setup Basics.mp4
33.5 MB
~Get Your Files Here !/1 - Introduction/29 - How to take advantage and benefit from AI.mp4
33.5 MB
~Get Your Files Here !/1 - Introduction/25 - Transfer Learning.mp4
32.7 MB
~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/50 - Building a Regressive FFNN with different AdamOptimizer.mp4
31.3 MB
~Get Your Files Here !/1 - Introduction/24 - Reinforcement Learning.mp4
31.1 MB
~Get Your Files Here !/1 - Introduction/15 - Back propagation and learning step Feed Forward Neural Networks FFNN.mp4
31.1 MB
~Get Your Files Here !/1 - Introduction/18 - CNN Convolution and Relu Layer.mp4
30.5 MB
~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/44 - Building a Feed Forward Neural Network with one Hidden layer Supervised.mp4
30.1 MB
~Get Your Files Here !/1 - Introduction/10 - Neural Networks Perceptron.mp4
29.0 MB
~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/48 - Building a SHALLOW Regressive Feed Forward Neural Network Unsupervised.mp4
28.0 MB
~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/42 - Introduction to the Section and the experiment sheet.mp4
27.2 MB
~Get Your Files Here !/1 - Introduction/17 - CNN Introduction.mp4
26.9 MB
~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/46 - High Level Introduction to Tensor Flow Data and Setup Unsupervised.mp4
26.8 MB
~Get Your Files Here !/1 - Introduction/4 - AI Supervised Machine Learning Algorithms and Applications.mp4
26.6 MB
~Get Your Files Here !/1 - Introduction/12 - Feed Forward Neural Networks FFNN Structure and Forward pass.mp4
25.6 MB
~Get Your Files Here !/1 - Introduction/26 - Market Potential of AI.mp4
25.1 MB
~Get Your Files Here !/1 - Introduction/3 - AI Branches of Machine Learning Algorithms.mp4
24.8 MB
~Get Your Files Here !/1 - Introduction/23 - Generative Adversarial Networks GAN.mp4
23.8 MB
~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/43 - Building a Perceptron.mp4
23.0 MB
~Get Your Files Here !/1 - Introduction/20 - CNN Example end to end.mp4
22.6 MB
~Get Your Files Here !/2 - IBM Watson Supervised and Unsupervised Machine Learning Models/37 - Performance Evaluation Parameters for ML Algorithms.mp4
21.2 MB
~Get Your Files Here !/1 - Introduction/11 - What are Deep Neural Networks.mp4
21.0 MB
~Get Your Files Here !/1 - Introduction/5 - AI Unsupervised Machine Learning Algorithms and Applications.mp4
20.9 MB
~Get Your Files Here !/1 - Introduction/28 - Need for retraining and reskilling.mp4
19.2 MB
~Get Your Files Here !/1 - Introduction/2 - Mapping human functions to AI technologies.mp4
17.1 MB
~Get Your Files Here !/1 - Introduction/19 - CNN Max Pooling Layer.mp4
16.6 MB
~Get Your Files Here !/3 - Natural Language Processing NLP with IBM Watson/38 - Introduction to the Section.mp4
15.9 MB
~Get Your Files Here !/2 - IBM Watson Supervised and Unsupervised Machine Learning Models/30 - Building Supervised and Unsupervised Machine learning Models using IBM Watson.mp4
14.9 MB
~Get Your Files Here !/1 - Introduction/9 - What are Neural Networks.mp4
13.1 MB
~Get Your Files Here !/1 - Introduction/22 - RNN Architecture.mp4
12.9 MB
~Get Your Files Here !/2 - IBM Watson Supervised and Unsupervised Machine Learning Models/33 - Supervised Building a Binary classificationML model and Uploading Data.mp4
12.7 MB
~Get Your Files Here !/6 - Recurrent Neural Network RNN with Mathworks/63 - Introduction the section.mp4
11.8 MB
~Get Your Files Here !/1 - Introduction/1 - What is Artificial Intelligence AI.mp4
10.7 MB
~Get Your Files Here !/1 - Introduction/13 - Input Feed Forward Neural Networks FFNN.mp4
8.4 MB
~Get Your Files Here !/5 - Convolutional Neural Networks CNN with IBM Watson/54 - CNN for MNIST Architecture Walkthrough.mp4
7.6 MB
~Get Your Files Here !/1 - Introduction/16 - Applications and Limitations of Feed Forward Neural Networks FFNN.mp4
5.1 MB
~Get Your Files Here !/Bonus Resources.txt
386 Bytes
Get Bonus Downloads Here.url
182 Bytes
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