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

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Udemy - Deep Learning: Recurrent Neural Networks in Python [FreeAllCourse] (Size: 1.4 GB)
  1. (Review) Theano Basics.mp4 93.5 MB
  1. (Review) Theano Basics.srt 13.3 KB
  1. Architecture of a Recurrent Unit.mp4 7.7 MB
  1. Architecture of a Recurrent Unit.srt 6.6 KB
  1. Batch Training for Simple RNN.mp4 16.6 MB
  1. Batch Training for Simple RNN.srt 23.4 KB
  1. Outline of this Course.mp4 4.9 MB
  1. Outline of this Course.srt 4.8 KB
  1. Rated RNN Unit.mp4 6 MB
  1. Rated RNN Unit.srt 5.1 KB
  1. Simple RNN in TensorFlow.mp4 12 MB
  1. Simple RNN in TensorFlow.srt 19 KB
  1. What is the Appendix.mp4 5.5 MB
  1. What is the Appendix.srt 6.3 KB
  1. Word Embeddings and Recurrent Neural Networks.mp4 8.7 MB
  1. Word Embeddings and Recurrent Neural Networks.srt 7.4 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
  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
  10. Suggestion Box.mp4 15.8 MB
  10. Suggestion Box.srt 4.8 KB
  11. Python 2 vs Python 3.mp4 7.8 MB
  11. Python 2 vs Python 3.srt 11.1 KB
  11. Visualizing the Word Embeddings.mp4 23.5 MB
  11. Visualizing the Word Embeddings.srt 10.1 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
  2. (Review) Theano Neural Network in Code.mp4 87 MB
  2. (Review) Theano Neural Network in Code.srt 6.7 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
  2. Prediction and Relationship to Markov Models.mp4 9 MB
  2. Prediction and Relationship to Markov Models.srt 7.5 KB
  2. RRNN in Code - Revisiting Poetry Generation.mp4 25.4 MB
  2. RRNN in Code - Revisiting Poetry Generation.srt 6.4 KB
  2. Review of Important Deep Learning Concepts.mp4 5.7 MB
  2. Review of Important Deep Learning Concepts.srt 5.1 KB
  2. Word Analogies with Word Embeddings.mp4 4.2 MB
  2. Word Analogies with Word Embeddings.srt 3.6 KB
  3. (Review) Tensorflow Basics.mp4 81.4 MB
  3. (Review) Tensorflow Basics.srt 10.2 KB
  3. Gated Recurrent Unit (GRU).mp4 9 MB
  3. Gated Recurrent Unit (GRU).srt 7.2 KB
  3. How to Succeed in this Course.mp4 3.3 MB
  3. How to Succeed in this Course.srt 7.5 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
  3. Unfolding a Recurrent Network.mp4 3.2 MB
  3. Unfolding a Recurrent Network.srt 2.6 KB
  3. Windows-Focused Environment Setup 2018.mp4 186.4 MB
  3. Windows-Focused Environment Setup 2018.srt 36.5 KB
  4. (Review) Tensorflow Neural Network in Code.mp4 97.3 MB
  4. (Review) Tensorflow Neural Network in Code.srt 10 KB
  4. Backpropagation Through Time (BPTT).mp4 7.1 MB
  4. Backpropagation Through Time (BPTT).srt 6.1 KB
  4. GRU in Code.mp4 15.1 MB
  4. GRU in Code.srt 4.2 KB
  4. Generating Poetry.mp4 7.5 MB
  4. Generating Poetry.srt 5.9 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
  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. Generating Poetry in Code (part 1).mp4 52.4 MB
  5. Generating Poetry in Code (part 1).srt 14.9 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
  5. Long Short-Term Memory (LSTM).mp4 7.6 MB
  5. Long Short-Term Memory (LSTM).srt 5.7 KB
  5. Preprocessed Wikipedia Data.mp4 21.6 MB
  5. Preprocessed Wikipedia Data.srt 4.1 KB
  5. The Parity Problem - XOR on Steroids.mp4 7.8 MB
  5. The Parity Problem - XOR on Steroids.srt 6.2 KB
  6. Generating Poetry in Code (part 2).mp4 13.6 MB
  6. Generating Poetry in Code (part 2).srt 3.2 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
  6. LSTM in Code.mp4 19.4 MB
  6. LSTM in Code.srt 6 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. Classifying Poetry.mp4 6.3 MB
  7. Classifying Poetry.srt 4.8 KB
  7. How to Succeed in this Course (Long Version).mp4 13 MB
  7. How to Succeed in this Course (Long Version).srt 25.9 KB
  7. Learning from Wikipedia Data.mp4 12.7 MB
  7. Learning from Wikipedia Data.srt 15.6 KB
  7. Theano Scan Tutorial.mp4 23.8 MB
  7. Theano Scan Tutorial.srt 12.7 KB
  8. Alternative to Wikipedia Data Brown Corpus.mp4 12.5 MB
  8. Alternative to Wikipedia Data Brown Corpus.srt 14.5 KB
  8. Classifying Poetry in Code.mp4 45.9 MB
  8. Classifying Poetry in Code.srt 12.5 KB
  8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39 MB
  8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 57.8 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. 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
  9. On Adding Complexity.mp4 2.4 MB
  9. On Adding Complexity.srt 1.8 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
  Verify Files.txt 1 KB
  [FreeAllCourse.Com].url 102 B
  ▲ 111 total files

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]

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