NeuralNetworkList
Neural Network List

Deep Learning Basics: Neural Networks, Backpropagation and Stochastic Gradient Descent

[ 翻译 ] 神经网络的直观解释: 卷积神经网络的讲解非常通俗易懂。

Neural networks from scratch for Javascript linguists #Series#: so let’s go on a journey, I’ll tell you everything I learned, some misconceptions I had, how to interpret the results, and some basic vocabulary and fun facts along the way.

A Beginner’s Guide to the Mathematics of Neural Networks: In this paper I try to describe both the role of mathematics in shaping our understanding of how neural networks operate, and the curious new mathematical concepts generated by our attempts to capture neural networks in equations. My target reader being the nonexpert, I will present a biased selection of relatively simple examples of neural network tasks, models and calculations, rather than try to give a full encyclopedic reviewlike account of the many mathematical developments in this eld.

ConvnetJS demo: toy 2d classification with 2layer neural network

2017Build a flexible Neural Network with Backpropagation in Python

2017What is the Role of the Activation Function in a Neural Network?

2015A Neural Network in 11 lines of Python: A bare bones neural network implementation to describe the inner workings of backpropagation.

2018Machine Learning for Beginners: An Introduction to Neural Networks: A simple explanation of how they work and how to implement one from scratch in Python.

2022Neural Networks: Zero to Hero 🎥: A course on neural networks that starts all the way at the basics. The course is a series of YouTube videos where we code and train neural networks together. The Jupyter notebooks we build in the videos are then captured here inside the lectures directory. Every lecture also has a set of exercises included in the video description. (This may grow into something more respectable).
Back Propagation  反向传播

2018Hacker’s guide to Neural Networks: You might be eager to jump right in and learn about Neural Networks, backpropagation, how they can be applied to datasets in practice, etc.

2018Coding Neural Network — Forward Propagation and Backpropagtion: This post will be the first in a series of posts that cover implementing neural network in numpy including gradient checking, parameter initialization, L2 regularization, dropout.