How To Build a Neural Network from Scratch with Python скачать в хорошем качестве

How To Build a Neural Network from Scratch with Python

In this video, Yuri Gorokhov discusses the fundamental concepts of neural networks and shows us how to build a neural network from scratch using Python. Chapters: 0:00 Intro 2:05 The theory behind neural networks 5:53 Defining learning for neural networks 13:30 Modeling the math behind learning 17:02 Quantifying the veracity of the belief 19:45 Updating the belief after the error 24:50 Minimizing the error function with derivatives 32:04 Solving for the minimum 36:44 Creating a neural network 39:17 Activation functions 43:05 Defining the “x” in a Relu function 45:47 Getting into the code 50:45 Helper functions and learning classes 54:17 Increasing complexity 58:37 Adding a sine and inverse function 1:03:06 The network size affect the learning rate 1:06:41 The practical application of this code 1:10:54 How to learn more about neural networks 1:16:11 Has machine learning reached a plateau? 1:20:40 Wrap up 🎓 Interested in learning to code? Start for Free: https://platform.codingnomads.co/learn/ 🧭 Website: https://codingnomads.co/