Udemy - Deep Learning Advanced NLP and RNNs

To download this torrent, you need a BitTorrent client: Vuze or BTGuard

Download deze torrent
Download using Magnet Link

Gezondheid:

Seeds: 0
Leechers: 0
Completed: 0
Laatst gecontroleerd: 25-12-2018 12:08:50

Uploader Reputatie punten : 1052

Thanks By

Write a Review for the Uploader:	0	Say Thanks with one good review:

Share on Facebook

Details

Naam:	Udemy - Deep Learning Advanced NLP and RNNs
_DESCRIPTION_: In previous courses, you learned about some of the fundamental building blocks of Deep NLP. We looked at RNNs ( recurrent neural networks ), CNNs ( convolutional neural networks ), and  word embedding  algorithms such as word2vec and GloVe.
YouTube Video:
Categorie:	Tutorials
Taal:	English
Totale grootte:	3.01 GB
Info Hash:	C40F1F579E347F1C6ED6AF07D470D5FB13A08680
Toegevoegd door:	fclab16
Datum toegevoegd:	2018-12-25 12:08:38
_TORSTATUS_:	Torrent Verified

Ratings:

Not Yet Rated (Log in to rate it)

Tracker:
http://0d.kebhana.mx:443/announce

Deze Torrent heeft ook back-trackers

URL	Zaaimachines	Leechers	Completed
http://0d.kebhana.mx:443/announce	0	0	0
udp://tw.opentracker.ga:36920/announce	0	0	0
udp://temp1.opentracker.gq:6969/announce	0	0	0
udp://temp2.opentracker.gq:6969/announce	0	0	0
udp://tracker.torrent.eu.org:451/announce	0	0	0
http://torrent.nwps.ws:80/announce	0	0	0
udp://explodie.org:6969/announce	0	0	0
https://opentracker.xyz:443/announce	0	0	0
https://t.quic.ws:443/announce	0	0	0
https://tracker.fastdownload.xyz:443/announce	0	0	0
udp://tracker.opentrackr.org:1337/announce	0	0	0
udp://ipv4.tracker.harry.lu:80/announce	0	0	0
udp://tracker.coppersurfer.tk:6969/announce	0	0	0
udp://tracker.justseed.it:1337/announce	0	0	0
udp://open.demonii.si:1337/announce	0	0	0

File List:

Bestand	Grootte
1. Welcome/1. Introduction.mp4	14.42 MB
1. Welcome/1. Introduction.vtt	3.34 kB
1. Welcome/2. Outline.mp4	16.14 MB
1. Welcome/2. Outline.vtt	5.21 kB
1. Welcome/3. Where to get the code.mp4	19.58 MB
1. Welcome/3. Where to get the code.vtt	5.73 kB
1. Welcome/4. How to Succeed in this Course.mp4	17.41 MB
1. Welcome/4. How to Succeed in this Course.vtt	3.49 kB
2. Review/1. Review Section Introduction.mp4	20.75 MB
2. Review/1. Review Section Introduction.vtt	5.29 kB
2. Review/10. Different Types of RNN Tasks.mp4	56.79 MB
2. Review/10. Different Types of RNN Tasks.vtt	13.46 kB
2. Review/11. A Simple RNN Experiment.mp4	56.00 MB
2. Review/11. A Simple RNN Experiment.vtt	6.65 kB
2. Review/12. RNN Code.mp4	31.10 MB
2. Review/12. RNN Code.vtt	3.70 kB
2. Review/13. Review Section Summary.mp4	19.64 MB
2. Review/13. Review Section Summary.vtt	5.59 kB
2. Review/2. What is a word embedding.mp4	57.53 MB
2. Review/2. What is a word embedding.vtt	16.66 kB
2. Review/3. Using word embeddings.mp4	18.67 MB
2. Review/3. Using word embeddings.vtt	5.39 kB
2. Review/4. What is a CNN.mp4	61.97 MB
2. Review/4. What is a CNN.vtt	15.69 kB
2. Review/5. Where to get the data.mp4	27.15 MB
2. Review/5. Where to get the data.vtt	5.68 kB
2. Review/6. CNN Code (part 1).mp4	148.61 MB
2. Review/6. CNN Code (part 1).vtt	17.47 kB
2. Review/7. CNN Code (part 2).mp4	59.29 MB
2. Review/7. CNN Code (part 2).vtt	6.90 kB
2. Review/8. What is an RNN.mp4	56.61 MB
2. Review/8. What is an RNN.vtt	15.12 kB
2. Review/9. GRUs and LSTMs.mp4	49.64 MB
2. Review/9. GRUs and LSTMs.vtt	12.15 kB
3. Bidirectional RNNs/1. Bidirectional RNNs Motivation.mp4	33.35 MB
3. Bidirectional RNNs/1. Bidirectional RNNs Motivation.vtt	9.23 kB
3. Bidirectional RNNs/2. Bidirectional RNN Experiment.mp4	48.70 MB
3. Bidirectional RNNs/2. Bidirectional RNN Experiment.vtt	5.18 kB
3. Bidirectional RNNs/3. Bidirectional RNN Code.mp4	22.72 MB
3. Bidirectional RNNs/3. Bidirectional RNN Code.vtt	2.42 kB
3. Bidirectional RNNs/4. Image Classification with Bidirectional RNNs.mp4	32.78 MB
3. Bidirectional RNNs/4. Image Classification with Bidirectional RNNs.vtt	6.75 kB
3. Bidirectional RNNs/5. Image Classification Code.mp4	48.62 MB
3. Bidirectional RNNs/5. Image Classification Code.vtt	5.81 kB
3. Bidirectional RNNs/6. Bidirectional RNNs Section Summary.mp4	13.99 MB
3. Bidirectional RNNs/6. Bidirectional RNNs Section Summary.vtt	2.67 kB
4. Sequence-to-sequence models (Seq2Seq)/1. Seq2Seq Theory.mp4	32.51 MB
4. Sequence-to-sequence models (Seq2Seq)/1. Seq2Seq Theory.vtt	8.11 kB
4. Sequence-to-sequence models (Seq2Seq)/2. Seq2Seq Applications.mp4	16.12 MB
4. Sequence-to-sequence models (Seq2Seq)/2. Seq2Seq Applications.vtt	3.83 kB
4. Sequence-to-sequence models (Seq2Seq)/3. Decoding in Detail and Teacher Forcing.mp4	31.13 MB
4. Sequence-to-sequence models (Seq2Seq)/3. Decoding in Detail and Teacher Forcing.vtt	7.55 kB
4. Sequence-to-sequence models (Seq2Seq)/4. Poetry Revisited.mp4	12.47 MB
4. Sequence-to-sequence models (Seq2Seq)/4. Poetry Revisited.vtt	3.72 kB
4. Sequence-to-sequence models (Seq2Seq)/5. Poetry Revisited Code 1.mp4	82.59 MB
4. Sequence-to-sequence models (Seq2Seq)/5. Poetry Revisited Code 1.vtt	9.50 kB
4. Sequence-to-sequence models (Seq2Seq)/6. Poetry Revisited Code 2.mp4	66.56 MB
4. Sequence-to-sequence models (Seq2Seq)/6. Poetry Revisited Code 2.vtt	7.46 kB
4. Sequence-to-sequence models (Seq2Seq)/7. Seq2Seq in Code 1.mp4	84.34 MB
4. Sequence-to-sequence models (Seq2Seq)/7. Seq2Seq in Code 1.vtt	8.33 kB
4. Sequence-to-sequence models (Seq2Seq)/8. Seq2Seq in Code 2.mp4	50.59 MB
4. Sequence-to-sequence models (Seq2Seq)/8. Seq2Seq in Code 2.vtt	5.42 kB
4. Sequence-to-sequence models (Seq2Seq)/9. Seq2Seq Section Summary.mp4	13.63 MB
4. Sequence-to-sequence models (Seq2Seq)/9. Seq2Seq Section Summary.vtt	3.31 kB
5. Attention/1. Attention Section Introduction.mp4	8.41 MB
5. Attention/1. Attention Section Introduction.vtt	2.65 kB
5. Attention/2. Attention Theory.mp4	61.82 MB
5. Attention/2. Attention Theory.vtt	20.86 kB
5. Attention/3. Teacher Forcing.mp4	7.18 MB
5. Attention/3. Teacher Forcing.vtt	2.25 kB
5. Attention/4. Helpful Implementation Details.mp4	40.88 MB
5. Attention/4. Helpful Implementation Details.vtt	13.11 kB
5. Attention/5. Attention Code 1.mp4	99.94 MB
5. Attention/5. Attention Code 1.vtt	10.28 kB
5. Attention/6. Attention Code 2.mp4	41.60 MB
5. Attention/6. Attention Code 2.vtt	3.69 kB
5. Attention/7. Visualizing Attention.mp4	10.43 MB
5. Attention/7. Visualizing Attention.vtt	2.71 kB
5. Attention/8. Building a Chatbot without any more Code.mp4	76.15 MB
5. Attention/8. Building a Chatbot without any more Code.vtt	10.08 kB
5. Attention/9. Attention Section Summary.mp4	13.88 MB
5. Attention/9. Attention Section Summary.vtt	3.94 kB
6. Memory Networks/1. Memory Networks Section Introduction.mp4	39.23 MB
6. Memory Networks/1. Memory Networks Section Introduction.vtt	11.06 kB
6. Memory Networks/2. Memory Networks Theory.mp4	30.40 MB
6. Memory Networks/2. Memory Networks Theory.vtt	10.70 kB
6. Memory Networks/3. Memory Networks Code 1.mp4	79.62 MB
6. Memory Networks/3. Memory Networks Code 1.vtt	8.40 kB
6. Memory Networks/4. Memory Networks Code 2.mp4	53.55 MB
6. Memory Networks/4. Memory Networks Code 2.vtt	5.19 kB
6. Memory Networks/5. Memory Networks Code 3.mp4	55.85 MB
6. Memory Networks/5. Memory Networks Code 3.vtt	6.15 kB
6. Memory Networks/6. Memory Networks Section Summary.mp4	16.11 MB
6. Memory Networks/6. Memory Networks Section Summary.vtt	4.35 kB
7. Basics Review/1. (Review) Keras Discussion.mp4	27.64 MB
7. Basics Review/1. (Review) Keras Discussion.vtt	8.05 kB
7. Basics Review/2. (Review) Keras Neural Network in Code.mp4	66.11 MB
7. Basics Review/2. (Review) Keras Neural Network in Code.vtt	6.47 kB
7. Basics Review/3. (Review) Keras Functional API.mp4	38.60 MB
7. Basics Review/3. (Review) Keras Functional API.vtt	4.70 kB
8. Appendix/1. What is the Appendix.mp4	17.68 MB
8. Appendix/1. What is the Appendix.vtt	3.27 kB
8. Appendix/10. What order should I take your courses in (part 2).mp4	122.65 MB
8. Appendix/10. What order should I take your courses in (part 2).vtt	20.29 kB
8. Appendix/11. Python 2 vs Python 3.mp4	18.79 MB
8. Appendix/11. Python 2 vs Python 3.vtt	5.34 kB
8. Appendix/12. BONUS Where to get discount coupons and FREE deep learning material.mp4	13.07 MB
8. Appendix/12. BONUS Where to get discount coupons and FREE deep learning material.vtt	2.99 kB
8. Appendix/2. Windows-Focused Environment Setup 2018.mp4	193.26 MB
8. Appendix/2. Windows-Focused Environment Setup 2018.vtt	17.38 kB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4	166.45 MB
8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....vtt	12.41 kB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	115.85 MB
8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt	27.96 kB
8. Appendix/5. How to Succeed in this Course (Long Version).mp4	39.01 MB
8. Appendix/5. How to Succeed in this Course (Long Version).vtt	12.84 kB
8. Appendix/6. How to Code by Yourself (part 1).mp4	82.11 MB
8. Appendix/6. How to Code by Yourself (part 1).vtt	19.61 kB
8. Appendix/7. How to Code by Yourself (part 2).mp4	56.22 MB
8. Appendix/7. How to Code by Yourself (part 2).vtt	11.62 kB
8. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4	78.26 MB
8. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt	12.22 kB
8. Appendix/9. What order should I take your courses in (part 1).mp4	88.04 MB
8. Appendix/9. What order should I take your courses in (part 1).vtt	14.17 kB
[FreeCourseLab.com].url	126.00 B

Comments
Geen reacties nog geplaatst

FILMS

TV

SOFTWARE / APPS

MUZIEK

GAMES

BOEKEN

ANIME

MOBIELE APPS / GAMES

VIDEO

FOTO 'S

TV / FILM VERPAKKINGEN

Udemy - Deep Learning Advanced NLP and RNNs