NLP Demystified 10: Neural Networks From Scratch скачать в хорошем качестве

NLP Demystified 10: Neural Networks From Scratch

Course playlist:    • Natural Language Processing Demystified   Neural Networks have led to incredible breakthroughs in all things AI, but at the core, they're pretty simple. In this video, we'll learn how neural networks work and how they "learn". By the end, you'll have a clear understanding of how neural networks work under the hood. We'll take a bottom-up approach starting with simple functions, move on to individual nodes, then how to compose nodes into full neural networks. We'll then cover how neural networks get better at a task through feedback and a process called backpropagation. And to really ground our understanding, we'll then build a neural network from scratch in the demo. Colab notebook: https://colab.research.google.com/git... Timestamps 00:00:00 Neural Networks I 00:00:39 Neural networks learn a function 00:03:34 Why we need a bias 00:04:49 Why we need a non-linearity 00:05:55 The main building block of neural networks 00:09:17 Combining units into neural networks 00:11:08 Neural networks as matrix operations 00:13:51 Neural network setups and loss functions 00:23:45 Backpropagation: Learning to get better 00:33:45 Neural networks search for transformations 00:34:55 DEMO: Building neural networks from scratch 01:09:29 Neural Networks I recap This video is part of Natural Language Processing Demystified --a free, accessible course on NLP. Visit https://www.nlpdemystified.org/ to learn more.