tensorflow_cookbook/08_Convolutional_Neural_Networks at master · kingwmk/tensorflow_cookbook · GitHub

Name		Name	Last commit message	Last commit date
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01_Intro_to_CNN		01_Intro_to_CNN
02_Intro_to_CNN_MNIST		02_Intro_to_CNN_MNIST
03_CNN_CIFAR10		03_CNN_CIFAR10
04_Retraining_Current_Architectures		04_Retraining_Current_Architectures
05_Stylenet_NeuralStyle		05_Stylenet_NeuralStyle
06_Deepdream		06_Deepdream
images		images
readme.md		readme.md

readme.md

Ch 8: Convolutional Neural Networks

Introduction

We introduce convolutional neural networks (CNN), and how we can use them in TensorFlow.

Implementing a Simple CNN.

Here, we show how to create a CNN architecture that performs well on the MNIST digit recognition task.

Implementing an Advanced CNN.

In this example, we show how to replicate an architecture for the CIFAR-10 image recognition task.

Retraining an Existing Architecture.

We show how to download and setup the CIFAR-10 data for the TensorFlow retraining/fine-tuning tutorial.

Using Stylenet/NeuralStyle.

In this recipe, we show a basic implementation of using Stylenet or Neuralstyle.

Implementing Deep Dream.

This script shows a line-by-line explanation of TensorFlow's deepdream tutorial. Taken from Deepdream on TensorFlow. Note that the code here is converted to Python 3.