ch8

Ch 8: Convolutional Neural Networks

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

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

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

We show how to re-train the Google Inception model to work on the CIFAR-10 dataset.

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

This script shows a line-by-line explanation of TensorFlow's deepdream tutorial. Taken from Deepdream on TensorFlow.

Name		Name	Last commit message	Last commit date
parent directory ..
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