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AirPassengers.csv
AirPassengers.csv
 
 
Boston.csv
Boston.csv
 
 
Chapter 10 Multiclass classification.ipynb
Chapter 10 Multiclass classification.ipynb
 
 
Chapter 11 Binary classification of Sonar returns.ipynb
Chapter 11 Binary classification of Sonar returns.ipynb
 
 
Chapter 12 Regression of Boston House prices.ipynb
Chapter 12 Regression of Boston House prices.ipynb
 
 
Chapter 13 Save your models with serialization.ipynb
Chapter 13 Save your models with serialization.ipynb
 
 
Chapter 14 Checkpointing.ipynb
Chapter 14 Checkpointing.ipynb
 
 
Chapter 15 Understand model behaviour by plotting history.ipynb
Chapter 15 Understand model behaviour by plotting history.ipynb
 
 
Chapter 16 reduce overfitting with dropout regularization.ipynb
Chapter 16 reduce overfitting with dropout regularization.ipynb
 
 
Chapter 17 Lift performance with learning rate schedules.ipynb
Chapter 17 Lift performance with learning rate schedules.ipynb
 
 
Chapter 19 Project Handwritten digit recognition.ipynb
Chapter 19 Project Handwritten digit recognition.ipynb
 
 
Chapter 2 Simple theano example.ipynb
Chapter 2 Simple theano example.ipynb
 
 
Chapter 20 Image augmentation.ipynb
Chapter 20 Image augmentation.ipynb
 
 
Chapter 21 Object recognition in photographs.ipynb
Chapter 21 Object recognition in photographs.ipynb
 
 
Chapter 22 Predict sentiment from movie reviews.ipynb
Chapter 22 Predict sentiment from movie reviews.ipynb
 
 
Chapter 24 Time series prediction with MLP.ipynb
Chapter 24 Time series prediction with MLP.ipynb
 
 
Chapter 25 Time series prediction with LSTM.ipynb
Chapter 25 Time series prediction with LSTM.ipynb
 
 
Chapter 26 Sequence classification of movie reviews.ipynb
Chapter 26 Sequence classification of movie reviews.ipynb
 
 
Chapter 27 Understanding stateful LSTMs.ipynb
Chapter 27 Understanding stateful LSTMs.ipynb
 
 
Chapter 28 Project - text generation with alice in wonderland.ipynb
Chapter 28 Project - text generation with alice in wonderland.ipynb
 
 
Chapter 3 Tensorflow.ipynb
Chapter 3 Tensorflow.ipynb
 
 
Chapter 7 First neural network with Keras.ipynb
Chapter 7 First neural network with Keras.ipynb
 
 
Chapter 8 Evaluate the performance of deep learning models.ipynb
Chapter 8 Evaluate the performance of deep learning models.ipynb
 
 
Chapter 9 Use keras models with scikit learn for general ML.ipynb
Chapter 9 Use keras models with scikit learn for general ML.ipynb
 
 
README.md
README.md
 
 
housing.csv
housing.csv
 
 

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This repository contains code sampes from the book "Deep learning with python" by Dr. Jason Brownlee.

Thanks Arvind

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