20 years ago I did research on the simulation of biological neuronal networks.
After 20 years in InfoSec I decided that I wanted to refresh my knowledge of the fast growing space of technical Machine Learning and Neuronal Networks. As a first step I searched the Internet for training classes and other learning resources. My knowledge level is that of a trained physicist. I am not afraid of math and I want to understand the background. Below is a list of training classes, books and blogs I found useful.
Resources
Training Classes
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Google Machine Learning Crash Course
https://developers.google.com/machine-learning/crash-course/ - A free Google course on deep learning
https://www.udacity.com/course/deep-learning–ud730 -
A Stanford class with recorded lectures on YouTube
https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv -
Deep Learning For Coders—36 hours of lessons for free
http://course.fast.ai/
Blogs / News
Books
- Free online book on Neuronal Networks and Deep Learning
http://neuralnetworksanddeeplearning.com
Frameworks
Models
Data Science
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List of data science blogs
https://devhub.io/repos/lazyprogrammer-data-science-blogs