This starts with the basics of neural networks, which I find very useful. We worked with Neural networks for learning as early as the 80s. Good straightforward overview of the topic. Also addresses the kinds of learning and memory involved. This will be crucial in the longer term to understand how we converse with AI enabled assistants.
Introduction to Neural Networks and Meta-Frameworks for Deep Learning with TensorFlow
Posted by Roger Strukhoff, Director of Research, in Machine Learning
Tags: Machine Learning, TensorFlow
With sample code and demos, this blog post highlights major topics covered at a recent TensorFlow webinar: what it takes to train a recurrent / convolutional neural network, four unique object types, meta-frameworks, etc. .... "