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
User experience design for APIs
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 are kept happy and productive…
4
The future of deep learning
This post is adapted from Section 3 of Chapter 9 of my book, Deep Learning with Python (Manning Publications).
5
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 It is now very outdated.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)".
6
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.