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Theory of Neural Networks - Deep Learning Without Frameworks

Theory of Neural Networks - Deep Learning Without Frameworks

Intermediate

Created by

freeCodeCamp

Intermediate

Created by

freeCodeCamp

0.00 (0 ratings)

Posted on November 15th 2018

|

English

|

01h 08m

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Overview

Finally understand how deep learning and neural networks actually work. In this talk by Beau Carnes, you will learn the theory of neural networks. Instead of teaching about a framework such as Karas or TensorFlow, Beau gives an overview of the methods behind those frameworks. First, he explaining the key concepts of deep learning. Then, he live codes a neural network using Python without using any frameworks. This will help you understand the concepts at a deeper level. 🐦 Beau Carnes on Twitter: https://twitter.com/carnesbeau 🔗 Beau's Deep Learning course from Manning Publications: https://www.manning.com/livevideo/grokking-deep-learning-in-motion?a_aid=algmotion&a_bid=5d7bc0ba Talk given at Moscow PythonConf++ 2018. Check out their YouTube channel: https://www.youtube.com/user/moscowdjangoru -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://medium.freecodecamp.org️️️

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