Machine Learning - The Hard Parts: Neural Networks

Apr 23, 2018 · New York, United States of America

High-level libraries like Keras make implementing complex neural network configurations simple. But very few engineers actually understand how Keras works under the hood.

In Deep Learning, the Hard Parts, we’ll take an in-depth look at the conceptual underpinnings of perceptrons and neural networks, and we’ll go on to develop our own implementation of fully-connected neural network layers in Python.

In this particular installment of DLHP, we'll be diving into dense & feedforward neural networks.

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  • Build with Code - New York City

    Build with Code hosts free weekly JavaScript and Software Engineering workshops, lectures and pair-programming sessions. Welcome!  Learn and build with the hard parts of JavaScript through intuitive lectures and pair-programming The reason people who only watch programming videos don't become programmers is because they're not programming. Come join other aspiring engineers and start building! In our mini-series, JavaScript - The Hard Parts, we cover callbacks, higher-order functions (functional programmin

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