1
The Limitations of Deep Learning
This post is adapted from Section 2 of Chapter 9 of my book, Deep Learning with Python (Manning Publications).
Keras Blog
Writing code is rarely just a private affair between you and your computer. Code is not just meant for machines; it has human users. It is meant to be read by people, used by other developers, maintained and built upon. Developers who produce better code, in greater quantity, when they …
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2
Introducing Keras 2
Keras was released two years ago, in March 2015. It then proceeded to grow from one user to one hundred thousand.
3
The future of deep learning
This post is adapted from Section 3 of Chapter 9 of my book, Deep Learning with Python (Manning Publications).
4
How convolutional neural networks see the world
Note: this post was originally written in January 2016. It is now very outdated. Please see this example of how to visualize convnet filters for an up-to-date alternative, or check out chapter 9 of my book "Deep Learning with Python (2nd edition)".
5
Keras 1.0 – Python deep learning framework
Keras was initially released a year ago, late March 2015. It has made tremendous progress since, both on the development front, and as a community.