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01_Introduction
02_TensorFlow_Way
03_Linear_Regression
04_Support_Vector_Machines
05_Nearest_Neighbor_Methods
06_Neural_Networks
07_Natural_Language_Processing
08_Convolutional_Neural_Networks
09_Recurrent_Neural_Networks
- 01_Introduction
- 02_Implementing_RNN_for_Spam_Prediction
- 03_Implementing_LSTM
  - 03_implementing_lstm.ipynb
  - 03_implementing_lstm.py
  - readme.md
- 04_Stacking_Multiple_LSTM_Layers
- 05_Creating_A_Sequence_To_Sequence_Model
- 06_Training_A_Siamese_Similarity_Measure
- images
- readme.md
10_Taking_TensorFlow_to_Production
11_More_with_TensorFlow
images
.gitignore
.travis.yml
CODE_OF_CONDUCT.md
LICENSE
readme.md
requirements.txt
test_script.py

03_Implementing_LSTM

Updated Chapter 9

Jul 31, 2018

a2ca9e7 · Jul 31, 2018

Name		Name	Last commit message	Last commit date
parent directory ..
03_implementing_lstm.ipynb		03_implementing_lstm.ipynb	Updated LSTM - for explicit embedding size	Jul 30, 2017
03_implementing_lstm.py		03_implementing_lstm.py	Updated Chapter 9	Jul 31, 2018
readme.md		readme.md	Updated Ch9	Nov 28, 2016

readme.md

Implementing an LSTM Model

Placeholder for future purposes