May 2018
Beginner
490 pages
13h 16m
English
Content preview from Artificial Intelligence By Example
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How to read this chapter
The goal is to show how to build a mind using several artificial intelligence techniques. Each technique will be briefly explained and then applied. At this point in the book, you know that all the network models encountered in machine learning contain inputs, activation functions, and outputs going through layers (visible and hidden). The flow is trained with an optimizer (loss function) and weights (with biases). There are many combinations of these models.
Each section contains a Python program you can run, explore, and view through a video. The video shows how a mind thinks in a 3D projection of thoughts and concepts. Image embedding was used to represent concepts (conceptual representation learning). Then PCA ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.