This book is focused on building CNNs with Python programming language. We have used Python version 2.7 (2x) to build various applications and the open source and enterprise-ready professional software using Python, Spyder, Anaconda, and PyCharm. Many of the examples are also compatible with Python 3x. As a good practice, we encourage users to use Python virtual environments for implementing these codes.
We focus on how to utilize various Python and deep learning libraries (Keras, TensorFlow, and Caffe) in the best possible way to build real-world applications. In that spirit, we have tried to keep all of the code as friendly and readable as possible. We feel that this will enable our readers to easily understand ...
