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[FreeCourseSite com] Udemy - Deep Learning Advanced NLP and RNNs

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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
36468BDBFA44EE6FF9889480A16BF5ABE083D229
Source
Unverified
Total Size
3.01 GB
Total Files
100
Seeders
0
Leechers
2
Health
Score
2
Type
Bookware

File List

FileSize
1. Welcome/1. Introduction.mp414.42 MB
1. Welcome/1. Introduction.vtt3.34 KB
1. Welcome/2. Outline.mp416.14 MB
1. Welcome/2. Outline.vtt5.21 KB
1. Welcome/3. Where to get the code.mp419.58 MB
1. Welcome/3. Where to get the code.vtt5.73 KB
1. Welcome/4. How to Succeed in this Course.mp417.41 MB
1. Welcome/4. How to Succeed in this Course.vtt3.49 KB
2. Review/1. Review Section Introduction.mp420.75 MB
2. Review/1. Review Section Introduction.vtt5.29 KB
2. Review/10. Different Types of RNN Tasks.mp456.79 MB
2. Review/10. Different Types of RNN Tasks.vtt13.46 KB
2. Review/11. A Simple RNN Experiment.mp456 MB
2. Review/11. A Simple RNN Experiment.vtt6.65 KB
2. Review/12. RNN Code.mp431.1 MB
2. Review/12. RNN Code.vtt3.7 KB
2. Review/13. Review Section Summary.mp419.64 MB
2. Review/13. Review Section Summary.vtt5.59 KB
2. Review/2. What is a word embedding.mp457.53 MB
2. Review/2. What is a word embedding.vtt16.66 KB
2. Review/3. Using word embeddings.mp418.67 MB
2. Review/3. Using word embeddings.vtt5.39 KB
2. Review/4. What is a CNN.mp461.97 MB
2. Review/4. What is a CNN.vtt15.69 KB
2. Review/5. Where to get the data.mp427.15 MB
2. Review/5. Where to get the data.vtt5.68 KB
2. Review/6. CNN Code (part 1).mp4148.61 MB
2. Review/6. CNN Code (part 1).vtt17.47 KB
2. Review/7. CNN Code (part 2).mp459.29 MB
2. Review/7. CNN Code (part 2).vtt6.9 KB
2. Review/8. What is an RNN.mp456.61 MB
2. Review/8. What is an RNN.vtt15.12 KB
2. Review/9. GRUs and LSTMs.mp449.64 MB
2. Review/9. GRUs and LSTMs.vtt12.15 KB
3. Bidirectional RNNs/1. Bidirectional RNNs Motivation.mp433.35 MB
3. Bidirectional RNNs/1. Bidirectional RNNs Motivation.vtt9.23 KB
3. Bidirectional RNNs/2. Bidirectional RNN Experiment.mp448.7 MB
3. Bidirectional RNNs/2. Bidirectional RNN Experiment.vtt5.18 KB
3. Bidirectional RNNs/3. Bidirectional RNN Code.mp422.72 MB
3. Bidirectional RNNs/3. Bidirectional RNN Code.vtt2.42 KB
3. Bidirectional RNNs/4. Image Classification with Bidirectional RNNs.mp432.78 MB
3. Bidirectional RNNs/4. Image Classification with Bidirectional RNNs.vtt6.75 KB
3. Bidirectional RNNs/5. Image Classification Code.mp448.62 MB
3. Bidirectional RNNs/5. Image Classification Code.vtt5.81 KB
3. Bidirectional RNNs/6. Bidirectional RNNs Section Summary.mp413.99 MB
3. Bidirectional RNNs/6. Bidirectional RNNs Section Summary.vtt2.67 KB
4. Sequence-to-sequence models (Seq2Seq)/1. Seq2Seq Theory.mp432.51 MB
4. Sequence-to-sequence models (Seq2Seq)/1. Seq2Seq Theory.vtt8.11 KB
4. Sequence-to-sequence models (Seq2Seq)/2. Seq2Seq Applications.mp416.12 MB
4. Sequence-to-sequence models (Seq2Seq)/2. Seq2Seq Applications.vtt3.83 KB
4. Sequence-to-sequence models (Seq2Seq)/3. Decoding in Detail and Teacher Forcing.mp431.13 MB
4. Sequence-to-sequence models (Seq2Seq)/3. Decoding in Detail and Teacher Forcing.vtt7.55 KB
4. Sequence-to-sequence models (Seq2Seq)/4. Poetry Revisited.mp412.47 MB
4. Sequence-to-sequence models (Seq2Seq)/4. Poetry Revisited.vtt3.72 KB
4. Sequence-to-sequence models (Seq2Seq)/5. Poetry Revisited Code 1.mp482.59 MB
4. Sequence-to-sequence models (Seq2Seq)/5. Poetry Revisited Code 1.vtt9.5 KB
4. Sequence-to-sequence models (Seq2Seq)/6. Poetry Revisited Code 2.mp466.56 MB
4. Sequence-to-sequence models (Seq2Seq)/6. Poetry Revisited Code 2.vtt7.46 KB
4. Sequence-to-sequence models (Seq2Seq)/7. Seq2Seq in Code 1.mp484.34 MB
4. Sequence-to-sequence models (Seq2Seq)/7. Seq2Seq in Code 1.vtt8.33 KB
4. Sequence-to-sequence models (Seq2Seq)/8. Seq2Seq in Code 2.mp450.59 MB
4. Sequence-to-sequence models (Seq2Seq)/8. Seq2Seq in Code 2.vtt5.42 KB
4. Sequence-to-sequence models (Seq2Seq)/9. Seq2Seq Section Summary.mp413.63 MB
4. Sequence-to-sequence models (Seq2Seq)/9. Seq2Seq Section Summary.vtt3.31 KB
5. Attention/1. Attention Section Introduction.mp48.41 MB
5. Attention/1. Attention Section Introduction.vtt2.65 KB
5. Attention/2. Attention Theory.mp461.82 MB
5. Attention/2. Attention Theory.vtt20.86 KB
5. Attention/3. Teacher Forcing.mp47.18 MB
5. Attention/3. Teacher Forcing.vtt2.25 KB
5. Attention/4. Helpful Implementation Details.mp440.88 MB
5. Attention/4. Helpful Implementation Details.vtt13.11 KB
5. Attention/5. Attention Code 1.mp499.94 MB
5. Attention/5. Attention Code 1.vtt10.28 KB
5. Attention/6. Attention Code 2.mp441.6 MB
5. Attention/6. Attention Code 2.vtt3.69 KB
5. Attention/7. Visualizing Attention.mp410.43 MB
5. Attention/7. Visualizing Attention.vtt2.71 KB
5. Attention/8. Building a Chatbot without any more Code.mp476.15 MB
5. Attention/8. Building a Chatbot without any more Code.vtt10.08 KB
5. Attention/9. Attention Section Summary.mp413.88 MB
5. Attention/9. Attention Section Summary.vtt3.94 KB
6. Memory Networks/1. Memory Networks Section Introduction.mp439.23 MB
6. Memory Networks/1. Memory Networks Section Introduction.vtt11.06 KB
6. Memory Networks/2. Memory Networks Theory.mp430.4 MB
6. Memory Networks/2. Memory Networks Theory.vtt10.7 KB
6. Memory Networks/3. Memory Networks Code 1.mp479.62 MB
6. Memory Networks/3. Memory Networks Code 1.vtt8.4 KB
6. Memory Networks/4. Memory Networks Code 2.mp453.55 MB
6. Memory Networks/4. Memory Networks Code 2.vtt5.19 KB
6. Memory Networks/5. Memory Networks Code 3.mp455.85 MB
6. Memory Networks/5. Memory Networks Code 3.vtt6.15 KB
6. Memory Networks/6. Memory Networks Section Summary.mp416.11 MB
6. Memory Networks/6. Memory Networks Section Summary.vtt4.35 KB
7. Basics Review/1. (Review) Keras Discussion.mp427.64 MB
7. Basics Review/1. (Review) Keras Discussion.vtt8.05 KB
7. Basics Review/2. (Review) Keras Neural Network in Code.mp466.11 MB
7. Basics Review/2. (Review) Keras Neural Network in Code.vtt6.47 KB
7. Basics Review/3. (Review) Keras Functional API.mp438.6 MB
7. Basics Review/3. (Review) Keras Functional API.vtt4.7 KB

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