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Download Udemy - Deep Learning Advanced Natural Language Processing and RNNs (4.2025)

Udemy Deep Learning Advanced Natural Language Processing and RNNs 2025

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Udemy - Deep Learning Advanced Natural Language Processing and RNNs (4.2025)

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Total Size

3.0 GB

Total Files

134

Last Seen

2025-07-19 00:26

Hash

438B3FD1F3C5473BDE89359C5F0BE535932BF5D4

/01. Welcome/

1. Introduction.mp4

4.0 MB

1. Introduction.vtt

4.0 KB

2. Outline.mp4

4.9 MB

2. Outline.vtt

6.3 KB

3. Github-Link.txt

0.1 KB

3. Where to get the code.mp4

11.7 MB

3. Where to get the code.vtt

6.9 KB

4. How to Succeed in this Course.mp4

9.4 MB

4. How to Succeed in this Course.vtt

4.7 KB

/02. Recurrent Neural Networks, Convolutional Neural Networks, and Word Embeddings/

1. Review Section Introduction.mp4

14.2 MB

1. Review Section Introduction.vtt

6.3 KB

10. GRUs and LSTMs.mp4

35.1 MB

10. GRUs and LSTMs.vtt

14.6 KB

11. Different Types of RNN Tasks.mp4

38.2 MB

11. Different Types of RNN Tasks.vtt

16.3 KB

12. A Simple RNN Experiment.mp4

45.3 MB

12. A Simple RNN Experiment.vtt

7.9 KB

13. RNN Code.mp4

37.1 MB

13. RNN Code.vtt

4.4 KB

14. Review Section Summary.mp4

10.8 MB

14. Review Section Summary.vtt

6.9 KB

15. Suggestion Box.mp4

41.8 MB

15. Suggestion Box.vtt

4.9 KB

2. How to Open Files for Windows Users.mp4

8.9 MB

2. How to Open Files for Windows Users.vtt

3.5 KB

3. What is a word embedding.mp4

43.3 MB

3. What is a word embedding.vtt

20.5 KB

4. Using word embeddings.mp4

11.5 MB

4. Using word embeddings.vtt

6.6 KB

5. What is a CNN.mp4

47.4 MB

5. What is a CNN.vtt

18.7 KB

6. Where to get the data.mp4

21.3 MB

6. Where to get the data.vtt

7.0 KB

7. CNN Code (part 1).mp4

180.5 MB

7. CNN Code (part 1).vtt

21.5 KB

8. CNN Code (part 2).mp4

47.2 MB

8. CNN Code (part 2).vtt

8.4 KB

9. What is an RNN.mp4

39.2 MB

9. What is an RNN.vtt

18.1 KB

/03. Bidirectional RNNs/

1. Bidirectional RNNs Motivation.mp4

22.0 MB

1. Bidirectional RNNs Motivation.vtt

11.5 KB

2. Bidirectional RNN Experiment.mp4

38.9 MB

2. Bidirectional RNN Experiment.vtt

6.3 KB

3. Bidirectional RNN Code.mp4

16.0 MB

3. Bidirectional RNN Code.vtt

2.9 KB

4. Image Classification with Bidirectional RNNs.mp4

34.0 MB

4. Image Classification with Bidirectional RNNs.vtt

8.2 KB

5. Image Classification Code.mp4

39.1 MB

5. Image Classification Code.vtt

7.3 KB

6. Bidirectional RNNs Section Summary.mp4

7.7 MB

6. Bidirectional RNNs Section Summary.vtt

3.3 KB

/04. Sequence-to-sequence models (Seq2Seq)/

1. Seq2Seq Theory.mp4

18.4 MB

1. Seq2Seq Theory.vtt

9.8 KB

2. Seq2Seq Applications.mp4

9.3 MB

2. Seq2Seq Applications.vtt

4.7 KB

3. Decoding in Detail and Teacher Forcing.mp4

20.9 MB

3. Decoding in Detail and Teacher Forcing.vtt

9.1 KB

4. Poetry Revisited.mp4

7.4 MB

4. Poetry Revisited.vtt

4.4 KB

5. Poetry Revisited Code 1.mp4

101.0 MB

5. Poetry Revisited Code 1.vtt

11.4 KB

6. Poetry Revisited Code 2.mp4

52.5 MB

6. Poetry Revisited Code 2.vtt

9.2 KB

7. Seq2Seq in Code 1.mp4

101.5 MB

7. Seq2Seq in Code 1.vtt

10.1 KB

8. Seq2Seq in Code 2.mp4

38.9 MB

8. Seq2Seq in Code 2.vtt

6.5 KB

9. Seq2Seq Section Summary.mp4

8.1 MB

9. Seq2Seq Section Summary.vtt

4.0 KB

/05. Attention/

1. Attention Section Introduction.mp4

4.9 MB

1. Attention Section Introduction.vtt

3.3 KB

2. Attention Theory.mp4

36.1 MB

2. Attention Theory.vtt

25.3 KB

3. Teacher Forcing.mp4

4.3 MB

3. Teacher Forcing.vtt

2.8 KB

4. Helpful Implementation Details.mp4

24.1 MB

4. Helpful Implementation Details.vtt

16.1 KB

5. Attention Code 1.mp4

121.2 MB

5. Attention Code 1.vtt

12.3 KB

6. Attention Code 2.mp4

49.5 MB

6. Attention Code 2.vtt

4.5 KB

7. Visualizing Attention.mp4

7.6 MB

7. Visualizing Attention.vtt

3.3 KB

8. Building a Chatbot without any more Code.mp4

81.8 MB

8. Building a Chatbot without any more Code.vtt

12.3 KB

9. Attention Section Summary.mp4

9.3 MB

9. Attention Section Summary.vtt

4.7 KB

/06. Memory Networks/

1. Memory Networks Section Introduction.mp4

27.0 MB

1. Memory Networks Section Introduction.vtt

13.8 KB

2. Memory Networks Theory.mp4

17.8 MB

2. Memory Networks Theory.vtt

13.3 KB

3. Memory Networks Code 1.mp4

96.8 MB

3. Memory Networks Code 1.vtt

10.3 KB

4. Memory Networks Code 2.mp4

64.8 MB

4. Memory Networks Code 2.vtt

6.3 KB

5. Memory Networks Code 3.mp4

44.2 MB

5. Memory Networks Code 3.vtt

7.4 KB

6. Memory Networks Section Summary.mp4

9.3 MB

6. Memory Networks Section Summary.vtt

5.3 KB

/07. Keras and Tensorflow 2 Basics/

1. (Review) Keras Discussion.mp4

16.0 MB

1. (Review) Keras Discussion.vtt

10.2 KB

2. (Review) Keras Neural Network in Code.mp4

51.6 MB

2. (Review) Keras Neural Network in Code.vtt

8.0 KB

3. (Review) Keras Functional API.mp4

30.6 MB

3. (Review) Keras Functional API.vtt

5.5 KB

4. (Review) How to easily convert Keras into Tensorflow 2.0 code.mp4

6.5 MB

4. (Review) How to easily convert Keras into Tensorflow 2.0 code.vtt

2.3 KB

/08. Course Conclusion/

1. What to Learn Next.mp4

14.1 MB

/09. Setting Up Your Environment (FAQ by Student Request)/

1. Pre-Installation Check.mp4

13.7 MB

1. Pre-Installation Check.vtt

6.6 KB

2. Anaconda Environment Setup.mp4

334.9 MB

2. Anaconda Environment Setup.vtt

20.6 KB

3. How to How to install Numpy, Theano, Tensorflow, etc.mp4

105.1 MB

3. How to How to install Numpy, Theano, Tensorflow, etc.vtt

15.1 KB

/10. Extra Help With Python Coding for Beginners (FAQ by Student Request)/

1. How to Code by Yourself (part 1).mp4

98.1 MB

1. How to Code by Yourself (part 1).vtt

23.6 KB

2. How to Code by Yourself (part 2).mp4

30.7 MB

2. How to Code by Yourself (part 2).vtt

14.5 KB

3. Proof that using Jupyter Notebook is the same as not using it.mp4

113.8 MB

3. Proof that using Jupyter Notebook is the same as not using it.vtt

14.5 KB

4. Python 2 vs Python 3.mp4

10.9 MB

4. Python 2 vs Python 3.vtt

6.4 KB

/11. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/

1. How to Succeed in this Course (Long Version).mp4

24.8 MB

1. How to Succeed in this Course (Long Version).vtt

15.7 KB

2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4

63.1 MB

2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt

33.8 KB

3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4

141.4 MB

3. Machine Learning and AI Prerequisite Roadmap (pt 1).vtt

18.0 KB

4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4

143.0 MB

4. Machine Learning and AI Prerequisite Roadmap (pt 2).vtt

24.9 KB

/12. Appendix FAQ Finale/

1. What is the Appendix.mp4

9.3 MB

1. What is the Appendix.vtt

4.1 KB

2. BONUS.mp4

32.5 MB

2. BONUS.vtt

7.2 KB

 

Total files 134


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