Introduction
This is the 3rd part in my Data Science and Machine Learning series
on Deep Learning in Python. At this point, you already know a lot
about neural networks and deep learning, including not just the basics
like backpropagation, but how to improve it using modern techniques
like momentum and adaptive learning rates. You've already written
deep neural networks in Theano and TensorFlow, and you know how
to run code using the GPU.
This book is all about how to use deep learning for computer vision
using convolutional neural networks. These are the state of the art
