Deep Learning uses multiple layers of neural networks to extract complex features from data, enabling breakthroughs in computer vision, speech recognition, and other AI applications.

In this post, Jal Mehta argues that there are ways to integrate the basics within arcs of deeper learning.

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By learning that this differentiator is, in fact, vital to understanding the difference between two vehicles, it improves the probability of a correct outcome next time. So what can Deep Learning do?