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18 - Recurrent Neural Networks/009 Parts-of-Speech (POS) Tagging in Tensorflow.mp4 152.1 MB
03 - Vector Models and Text Preprocessing/014 TF-IDF (Code).mp4 131.0 MB
16 - Feedforward Artificial Neural Networks/013 CBOW in Tensorflow (Advanced).mp4 123.3 MB
21 - Effective Learning Strategies for Machine Learning FAQ/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
09 - Spam Detection/006 Spam Detection in Python.mp4 112.8 MB
07 - Cipher Decryption (Advanced)/004 Genetic Algorithms.mp4 110.3 MB
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06 - Article Spinner (Intermediate)/004 Article Spinner in Python (pt 1).mp4 100.6 MB
16 - Feedforward Artificial Neural Networks/004 Activation Functions.mp4 93.7 MB
17 - Convolutional Neural Networks/006 CNN Architecture.mp4 93.6 MB
11 - Text Summarization/008 TextRank in Python (Advanced).mp4 86.3 MB
18 - Recurrent Neural Networks/006 GRU and LSTM (pt 1).mp4 86.2 MB
13 - Latent Semantic Analysis (Latent Semantic Indexing)/002 SVD (Singular Value Decomposition) Intuition.mp4 85.8 MB
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7. Long Text Classification With BERT/1. Classification of Long Text Using Windows.mp4 144.6 MB
14. Pre-Training Transformer Models/6. Pre-training with MLM - Data Preparation.mp4 119.9 MB
6. [Project] Sentiment Model With TensorFlow and Transformers/6. Build and Save.mp4 115.9 MB
14. Pre-Training Transformer Models/5. The Logic of MLM.mp4 111.6 MB
14. Pre-Training Transformer Models/10. Pre-training with NSP - Data Preparation.mp4 109.8 MB
11. Reader-Retriever QA With Haystack/13. Retriever-Reader Stack.mp4 108.3 MB
8. Named Entity Recognition (NER)/4. Pulling Data With The Reddit API.mp4 108.2 MB
7. Long Text Classification With BERT/2. Window Method in PyTorch.mp4 104.3 MB
8. Named Entity Recognition (NER)/9. NER With roBERTa.mp4 99.2 MB
6. [Project] Sentiment Model With TensorFlow and Transformers/3. Preprocessing.mp4 96.2 MB
5. Language Classification/4. Tokenization And Special Tokens For BERT.mp4 90.0 MB
8. Named Entity Recognition (NER)/8. NER With Sentiment.mp4 88.4 MB
6. [Project] Sentiment Model With TensorFlow and Transformers/7. Loading and Prediction.mp4 85.9 MB
11. Reader-Retriever QA With Haystack/10. FAISS in Haystack.mp4 84.2 MB
12. [Project] Open-Domain QA/3. Building the Haystack Pipeline.mp4 84.1 MB
14. Pre-Training Transformer Models/7. Pre-training with MLM - Training.mp4 82.7 MB
14. Pre-Training Transformer Models/3. BERT Pretraining - Masked-Language Modeling (MLM).mp4 70.6 MB
12. [Project] Open-Domain QA/2. Creating the Database.mp4 67.9 MB
14. Pre-Training Transformer Models/13. Pre-training with MLM and NSP - Data Preparation.mp4 65.0 MB
8. Named Entity Recognition (NER)/1. Introduction to spaCy.mp4 64.9 MB

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[FreeCourseSite.com] Udemy - Machine Learning Natural Language Processing in Python (V2)

18. Recurrent Neural Networks/9. Parts-of-Speech (POS) Tagging in Tensorflow.mp4 152.2 MB
3. Vector Models and Text Preprocessing/14. TF-IDF (Code).mp4 131.0 MB
16. Feedforward Artificial Neural Networks/13. CBOW in Tensorflow (Advanced).mp4 123.3 MB
21. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
9. Spam Detection/6. Spam Detection in Python.mp4 112.8 MB
7. Cipher Decryption (Advanced)/4. Genetic Algorithms.mp4 110.3 MB
3. Vector Models and Text Preprocessing/10. Count Vectorizer (Code).mp4 106.9 MB
6. Article Spinner (Intermediate)/4. Article Spinner in Python (pt 1).mp4 100.6 MB
16. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.7 MB
17. Convolutional Neural Networks/6. CNN Architecture.mp4 93.6 MB
11. Text Summarization/8. TextRank in Python (Advanced).mp4 86.3 MB
18. Recurrent Neural Networks/6. GRU and LSTM (pt 1).mp4 86.3 MB
13. Latent Semantic Analysis (Latent Semantic Indexing)/2. SVD (Singular Value Decomposition) Intuition.mp4 85.8 MB
15. The Neuron/4. Text Classification in Tensorflow.mp4 85.6 MB
17. Convolutional Neural Networks/2. What is Convolution.mp4 83.7 MB
3. Vector Models and Text Preprocessing/16. How to Build TF-IDF From Scratch.mp4 83.7 MB
21. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
11. Text Summarization/4. Text Summarization in Python.mp4 81.9 MB
6. Article Spinner (Intermediate)/5. Article Spinner in Python (pt 2).mp4 79.0 MB
17. Convolutional Neural Networks/5. Convolution on Color Images.mp4 78.9 MB

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4. 4 Receita básica de pão branco/5. Passo a passo/1. ext.mp4 258.9 MB
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5. 5 Fermento natural/2. O que é fermentação natural/1. ext.mp4 50.2 MB
3. 3 Etapas da preparação do pão/3. Mistura/1. ext.mp4 45.2 MB
7. 7 Receita avançada de pão de fermentação natural/4. Ingredientes/1. ext.mp4 38.4 MB
7. 7 Receita avançada de pão de fermentação natural/5. Autólise/1. ext.mp4 33.8 MB
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