Download Udemy - Deep Learning: Recurrent Neural Networks in Python [FreeAllCourse] torrent

Udemy - Deep Learning: Recurrent Neural Networks in Python [FreeAllCourse]

Torrent:	Udemy - Deep Learning: Recurrent Neural Networks in Python [FreeAllCourse]
Description:	Deep Learning: Recurrent Neural Networks in Python GRU, LSTM, + more modern deep learning, machine learning, and data science for sequences For More Paid Udemy Courses: FreeAllCourse.Com What you'll learn? # Understand the simple recurrent unit (Elman unit) # Understand the GRU (gated recurrent unit) # Understand the LSTM (long short-term memory unit) # Write various recurrent networks in Theano # Understand backpropagation through time # Understand how to mitigate the vanishing gradient problem # Solve the XOR and parity problems using a recurrent neural network # Use recurrent neural networks for language modeling # Use RNNs for generating text, like poetry # Visualize word embeddings and look for patterns in word vector representations Description Created by Lazy Programmer Inc. Last updated 12/2019 Audio: English Caption: English [Auto-generated]
Downloads:	75
Category:	Other /Tutorials
Size:	1.4 GB
Show Files »	[FreeAllCourse.Com] Udemy - Deep Learning Recurrent Neural Networks in Python 8. Appendix FAQ 3. Windows-Focused Environment Setup 2018.mp4 (186.4 MB) 1. What is the Appendix.mp4 (5.5 MB) 1. What is the Appendix.srt (6.3 KB) 2. How to install wp2txt or WikiExtractor.py.mp4 (3.8 MB) 2. How to install wp2txt or WikiExtractor.py.srt (5.8 KB) 3. Windows-Focused Environment Setup 2018.srt (36.5 KB) 4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 (43.9 MB) 4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt (25.4 KB) 5. How to Code by Yourself (part 1).mp4 (24.5 MB) 5. How to Code by Yourself (part 1).srt (40.6 KB) 6. How to Code by Yourself (part 2).mp4 (14.8 MB) 6. How to Code by Yourself (part 2).srt (23.9 KB) 7. How to Succeed in this Course (Long Version).mp4 (13.0 MB) 7. How to Succeed in this Course (Long Version).srt (25.9 KB) 8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 (39.0 MB) 8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt (57.8 KB) 9. Proof that using Jupyter Notebook is the same as not using it.mp4 (78.3 MB) 9. Proof that using Jupyter Notebook is the same as not using it.srt (25.2 KB) 10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 (37.8 MB) 10. BONUS Where to get Udemy coupons and FREE deep learning material.srt (8.4 KB) 11. Python 2 vs Python 3.mp4 (7.8 MB) 11. Python 2 vs Python 3.srt (11.1 KB) 12. Is Theano Dead.mp4 (17.8 MB) 12. Is Theano Dead.srt (23.6 KB) 13. What order should I take your courses in (part 1).mp4 (29.3 MB) 13. What order should I take your courses in (part 1).srt (29.4 KB) 14. What order should I take your courses in (part 2).mp4 (37.6 MB) 14. What order should I take your courses in (part 2).srt (43.4 KB) Verify Files.txt (1.0 KB) 0. Websites you may like [FreeAllCourse.Com].url (0.1 KB) 1. Introduction and Outline 1. Outline of this Course.mp4 (4.9 MB) 1. Outline of this Course.srt (4.8 KB) 2. Review of Important Deep Learning Concepts.mp4 (5.7 MB) 2. Review of Important Deep Learning Concepts.srt (5.1 KB) 3. How to Succeed in this Course.mp4 (3.3 MB) 3. How to Succeed in this Course.srt (7.5 KB) 4. Where to get the Code and Data.mp4 (3.1 MB) 4. Where to get the Code and Data.srt (2.6 KB) 5. Preprocessed Wikipedia Data.mp4 (21.6 MB) 5. Preprocessed Wikipedia Data.srt (4.1 KB) 2. The Simple Recurrent Unit 1. Architecture of a Recurrent Unit.mp4 (7.7 MB) 1. Architecture of a Recurrent Unit.srt (6.6 KB) 2. Prediction and Relationship to Markov Models.mp4 (9.0 MB) 2. Prediction and Relationship to Markov Models.srt (7.5 KB) 3. Unfolding a Recurrent Network.mp4 (3.2 MB) 3. Unfolding a Recurrent Network.srt (2.6 KB) 4. Backpropagation Through Time (BPTT).mp4 (7.1 MB) 4. Backpropagation Through Time (BPTT).srt (6.1 KB) 5. The Parity Problem - XOR on Steroids.mp4 (7.8 MB) 5. The Parity Problem - XOR on Steroids.srt (6.2 KB) 6. The Parity Problem in Code using a Feedforward ANN.mp4 (38.3 MB) 6. The Parity Problem in Code using a Feedforward ANN.srt (11.7 KB) 7. Theano Scan Tutorial.mp4 (23.8 MB) 7. Theano Scan Tutorial.srt (12.7 KB) 8. The Parity Problem in Code using a Recurrent Neural Network.mp4 (37.5 MB) 8. The Parity Problem in Code using a Recurrent Neural Network.srt (12.4 KB) 9. On Adding Complexity.mp4 (2.4 MB) 9. On Adding Complexity.srt (1.8 KB) 10. Suggestion Box.mp4 (15.8 MB) 10. Suggestion Box.srt (4.8 KB) 3. Recurrent Neural Networks for NLP 1. Word Embeddings and Recurrent Neural Networks.mp4 (8.7 MB) 1. Word Embeddings and Recurrent Neural Networks.srt (7.4 KB) 2. Word Analogies with Word Embeddings.mp4 (4.2 MB) 2. Word Analogies with Word Embeddings.srt (3.6 KB) 3. Representing a sequence of words as a sequence of word embeddings.mp4 (5.4 MB) 3. Representing a sequence of words as a sequence of word embeddings.srt (4.3 KB) 4. Generating Poetry.mp4 (7.5 MB) 4. Generating Poetry.srt (5.9 KB) 5. Generating Poetry in Code (part 1).mp4 (52.4 MB) 5. Generating Poetry in Code (part 1).srt (14.9 KB) 6. Generating Poetry in Code (part 2).mp4 (13.6 MB) 6. Generating Poetry in Code (part 2).srt (3.2 KB) 7. Classifying Poetry.mp4 (6.3 MB) 7. Classifying Poetry.srt (4.8 KB) 8. Classifying Poetry in Code.mp4 (45.9 MB) 8. Classifying Poetry in Code.srt (12.5 KB) 4. Advanced RNN Units 1. Rated RNN Unit.mp4 (6.0 MB) 1. Rated RNN Unit.srt (5.1 KB) 2. RRNN in Code - Revisiting Poetry Generation.mp4 (25.4 MB) 2. RRNN in Code - Revisiting Poetry Generation.srt (6.4 KB) 3. Gated Recurrent Unit (GRU).mp4 (9.0 MB) 3. Gated Recurrent Unit (GRU).srt (7.2 KB) 4. GRU in Code.mp4 (15.1 MB) 4. GRU in Code.srt (4.2 KB) 5. Long Short-Term Memory (LSTM).mp4 (7.6 MB) 5. Long Short-Term Memory (LSTM).srt (5.7 KB) 6. LSTM in Code.mp4 (19.4 MB) 6. LSTM in Code.srt (6.0 KB) 7. Learning from Wikipedia Data.mp4 (12.7 MB) 7. Learning from Wikipedia Data.srt (15.6 KB) 8. Alternative to Wikipedia Data Brown Corpus.mp4 (12.5 MB) 8. Alternative to Wikipedia Data Brown Corpus.srt (14.5 KB) 9. Learning from Wikipedia Data in Code (part 1).mp4 (48.7 MB) 9. Learning from Wikipedia Data in Code (part 1).srt (15.1 KB) 10. Learning from Wikipedia Data in Code (part 2).mp4 (25.6 MB) 10. Learning from Wikipedia Data in Code (part 2).srt (6.3 KB) 11. Visualizing the Word Embeddings.mp4 (23.5 MB) 11. Visualizing the Word Embeddings.srt (10.1 KB) 5. Batch Training files
Added:	2020-06-11 11:01:21
Language:	English
Peers:	Seeders : 0 , Leechers : 0
Tags:	Deep Learning Recurrent Neural Networks Python
Release name:	Udemy - Deep Learning: Recurrent Neural Networks in Python [FreeAllCourse]
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