This forked repository contains Jupyter notebooks implementing the code samples found in the book
Deep Learning with Python (Manning Publications).

• Chapter 2:
  • 2.1: A first look at a neural network
• Chapter 3:
  • 3.5: Classifying movie reviews
  • 3.6: Classifying newswires
  • 3.7: Predicting house prices
• Chapter 4:
  • 4.4: Underfitting and overfitting
• Chapter 5:
  • 5.1: Introduction to convnets
  • 5.2: Using convnets with small datasets
  • 5.3: Using a pre-trained convnet
  • 5.4: Visualizing what convnets learn
• Chapter 6:
  • 6.1: One-hot encoding of words or characters
  • 6.1: Using word embeddings
  • 6.2: Understanding RNNs
  • 6.3: Advanced usage of RNNs
  • 6.4: Sequence processing with convnets
• Chapter 8:
  • 8.1: Text generation with LSTM
  • 8.2: Deep dream
  • 8.3: Neural style transfer
  • 8.4: Generating images with VAEs
  • 8.5: Introduction to GANs

• Install dependencies

  • Git
  • Docker Community Edition

• Clone this repository

  $ git clone https://github.com/lorosanu/deep-learning-with-python-notebooks
  $ cd deep-learning-with-python-notebooks
  

• Use docker-compose to build and use the image

  $ docker-compose up
  
    Copy/paste this URL into your browser when you connect for the first time,
    to login with a token:
      http://0.0.0.0:8888/?token=6a99...
  

• The jupyter notebook will be available at http://0.0.0.0:8888/?token=6a99...

• Note: Mac and Windown users will have to find the IP address of docker-machine VM and replace 'localhost' with it.
  More here.