Udemy - Deep Learning: Advanced NLP and RNNs

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[FreeCourseLab.com] Udemy - Deep Learning Advanced NLP and RNNs 1. Welcome
  • 1. Introduction.mp4 (14.4 MB)
  • 1. Introduction.vtt (3.3 KB)
  • 2. Outline.mp4 (16.1 MB)
  • 2. Outline.vtt (5.2 KB)
  • 3. Where to get the code.mp4 (19.6 MB)
  • 3. Where to get the code.vtt (5.7 KB)
  • 4. How to Succeed in this Course.mp4 (17.4 MB)
  • 4. How to Succeed in this Course.vtt (3.5 KB)
2. Review
  • 1. Review Section Introduction.mp4 (20.8 MB)
  • 1. Review Section Introduction.vtt (5.3 KB)
  • 10. Different Types of RNN Tasks.mp4 (56.8 MB)
  • 10. Different Types of RNN Tasks.vtt (13.5 KB)
  • 11. A Simple RNN Experiment.mp4 (56.0 MB)
  • 11. A Simple RNN Experiment.vtt (6.7 KB)
  • 12. RNN Code.mp4 (31.1 MB)
  • 12. RNN Code.vtt (3.7 KB)
  • 13. Review Section Summary.mp4 (19.6 MB)
  • 13. Review Section Summary.vtt (5.6 KB)
  • 2. What is a word embedding.mp4 (57.5 MB)
  • 2. What is a word embedding.vtt (16.7 KB)
  • 3. Using word embeddings.mp4 (18.7 MB)
  • 3. Using word embeddings.vtt (5.4 KB)
  • 4. What is a CNN.mp4 (62.0 MB)
  • 4. What is a CNN.vtt (15.7 KB)
  • 5. Where to get the data.mp4 (27.1 MB)
  • 5. Where to get the data.vtt (5.7 KB)
  • 6. CNN Code (part 1).mp4 (148.6 MB)
  • 6. CNN Code (part 1).vtt (17.5 KB)
  • 7. CNN Code (part 2).mp4 (59.3 MB)
  • 7. CNN Code (part 2).vtt (6.9 KB)
  • 8. What is an RNN.mp4 (56.6 MB)
  • 8. What is an RNN.vtt (15.1 KB)
  • 9. GRUs and LSTMs.mp4 (49.6 MB)
  • 9. GRUs and LSTMs.vtt (12.1 KB)
3. Bidirectional RNNs
  • 1. Bidirectional RNNs Motivation.mp4 (33.3 MB)
  • 1. Bidirectional RNNs Motivation.vtt (9.2 KB)
  • 2. Bidirectional RNN Experiment.mp4 (48.7 MB)
  • 2. Bidirectional RNN Experiment.vtt (5.2 KB)
  • 3. Bidirectional RNN Code.mp4 (22.7 MB)
  • 3. Bidirectional RNN Code.vtt (2.4 KB)
  • 4. Image Classification with Bidirectional RNNs.mp4 (32.8 MB)
  • 4. Image Classification with Bidirectional RNNs.vtt (6.8 KB)
  • 5. Image Classification Code.mp4 (48.6 MB)
  • 5. Image Classification Code.vtt (5.8 KB)
  • 6. Bidirectional RNNs Section Summary.mp4 (14.0 MB)
  • 6. Bidirectional RNNs Section Summary.vtt (2.7 KB)
4. Sequence-to-sequence models (Seq2Seq)
  • 1. Seq2Seq Theory.mp4 (32.5 MB)
  • 1. Seq2Seq Theory.vtt (8.1 KB)
  • 2. Seq2Seq Applications.mp4 (16.1 MB)
  • 2. Seq2Seq Applications.vtt (3.8 KB)
  • 3. Decoding in Detail and Teacher Forcing.mp4 (31.1 MB)
  • 3. Decoding in Detail and Teacher Forcing.vtt (7.6 KB)
  • 4. Poetry Revisited.mp4 (12.5 MB)
  • 4. Poetry Revisited.vtt (3.7 KB)
  • 5. Poetry Revisited Code 1.mp4 (82.6 MB)
  • 5. Poetry Revisited Code 1.vtt (9.5 KB)
  • 6. Poetry Revisited Code 2.mp4 (66.6 MB)
  • 6. Poetry Revisited Code 2.vtt (7.5 KB)
  • 7. Seq2Seq in Code 1.mp4 (84.3 MB)
  • 7. Seq2Seq in Code 1.vtt (8.3 KB)
  • 8. Seq2Seq in Code 2.mp4 (50.6 MB)
  • 8. Seq2Seq in Code 2.vtt (5.4 KB)
  • 9. Seq2Seq Section Summary.mp4 (13.6 MB)
  • 9. Seq2Seq Section Summary.vtt (3.3 KB)
5. Attention
  • 1. Attention Section Introduction.mp4 (8.4 MB)
  • 1. Attention Section Introduction.vtt (2.7 KB)
  • 2. Attention Theory.mp4 (61.8 MB)
  • 2. Attention Theory.vtt (20.9 KB)
  • 3. Teacher Forcing.mp4 (7.2 MB)
  • 3. Teacher Forcing.vtt (2.3 KB)
  • 4. Helpful Implementation Details.mp4 (40.9 MB)
  • 4. Helpful Implementation Details.vtt (13.1 KB)
  • 5. Attention Code 1.mp4 (99.9 MB)
  • 5. Attention Code 1.vtt (10.3 KB)
  • 6. Attention Code 2.mp4 (41.6 MB)
  • 6. Attention Code 2.vtt (3.7 KB)
  • 7. Visualizing Attention.mp4 (10.4 MB)
  • 7. Visualizing Attention.vtt (2.7 KB)
  • 8. Building a Chatbot without any more Code.mp4 (76.2 MB)
  • 8. Building a Chatbot without any more Code.vtt (10.1 KB)
  • 9. Attention Section Summary.mp4 (13.9 MB)
  • 9. Attention Section Summary.vtt (3.9 KB)
6. Memory Networks
  • 1. Memory Networks Section Introduction.mp4 (39.2 MB)
  • 1. Memory Networks Section Introduction.vtt (11.1 KB)
  • 2. Memory Networks Theory.mp4 (30.4 MB)
  • 2. Memory Networks Theory.vtt (10.7 KB)
  • 3. Memory Networks Code 1.mp4 (79.6 MB)
  • 3. Memory Networks Code 1.vtt (8.4 KB)
  • 4. Memory Networks Code 2.mp4 (53.6 MB)
  • 4. Memory Networks Code 2.vtt (5.2 KB)
  • 5. Memory Networks Code 3.mp4 (55.8 MB)
  • 5. Memory Networks Code 3.vtt (6.2 KB)
  • 6. Memory Networks Section Summary.mp4 (16.1 MB)
  • 6. Memory Networks Section Summary.vtt (4.4 KB)
7. Basics Review
  • 1. (Review) Keras Discussion.mp4 (27.6 MB)
  • 1. (Review) Keras Discussion.vtt (8.0 KB)
  • 2. (Review) Keras Neural Network in Code.mp4 (66.1 MB)
  • 2. (Review) Keras Neural Network in Code.vtt (6.5 KB)
  • 3. (Review) Keras Functional API.mp4 (38.6 MB)
  • 3. (Review) Keras Functional API.vtt (4.7 KB)
8. Appendix
  • 1. What is the Appendix.mp4 (17.7 MB)
  • 1. What is the Appendix.vtt (3.3 KB)
  • 10. What order should I take your courses in (part 2).mp4 (122.7 MB)
  • 10. What order should I take your courses in (part 2).vtt (20.3 KB)
  • 11. Python 2 vs Python 3.mp4 (18.8 MB)
  • 11. Python 2 vs Python 3.vtt (5.3 KB)
  • 12. BONUS Where to get discount coupons and FREE deep learning material.mp4 (13.1 MB)
  • 12. BONUS Where to get discount coupons and FREE deep learning material.vtt (3.0 KB)

Description

Udemy - Deep Learning: Advanced NLP and RNNs

Natural Language Processing with Sequence-to-sequence (seq2seq), Attention, CNNs, RNNs, and Memory Networks!

For more Udemy Courses: https://freecourselab.com



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Udemy - Deep Learning: Advanced NLP and RNNs


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3 GB
seeders:19
leechers:23
Udemy - Deep Learning: Advanced NLP and RNNs


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