Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
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Book Description
Keras has quickly emerged as a popular deep learning library. Written in Python, it allows you to train convolutional as well as recurrent neural networks with speed and accuracy.
This book shows you how to tackle different problems in training efficient deep learning models using the popular Keras library. Starting with installing and setting up of Keras, the book demonstrates how you can perform deep learning with Keras on top of Tensorflow, Apache MXNet and CNTK backend’s. From loading the data to fitting and evaluating your model for optimal performance, you will go through a step by step process to tackle every possible problem in training deep models. You will implement efficient convolutional neural networks, recurrent neural networks, adversarial networks and more, with the help of this handy guide. You will also see how to train these models for real-world image and language processing tasks.
By the end of this book, you will have a practical, hands-on understanding of how you can leverage the power of Python and Keras to perform effective deep learning.
