mattm / simple-neural-networkLinks
A simple Python script showing how the backpropagation algorithm works.
☆1,077Updated 9 months ago
Alternatives and similar repositories for simple-neural-network
Users that are interested in simple-neural-network are comparing it to the libraries listed below
Sorting:
- Implementing Multiple Layer Neural Network from Scratch☆325Updated 9 years ago
- Implementing Recurrent Neural Network from Scratch☆502Updated 7 years ago
- This is an efficient implementation of a fully connected neural network in NumPy. The network can be trained by a variety of learning alg…☆297Updated 5 years ago
- Implementing a Neural Network from Scratch☆2,165Updated 2 years ago
- Example demonstrating how gradient descent may be used to solve a linear regression problem☆545Updated 2 years ago
- Implementations of CNNs, RNNs, GANs, etc☆1,058Updated 7 years ago
- This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube☆366Updated 6 years ago
- Videos, notes and experiments to understand deep learning☆1,177Updated 2 weeks ago
- Machine learning programming exercises☆315Updated 8 years ago
- Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano☆899Updated 2 years ago
- deeplearning.ai , By Andrew Ng, All video link☆655Updated 7 years ago
- Introduction to Deep Neural Networks with Keras and Tensorflow☆2,971Updated 2 years ago
- Codes for weekly challenges on Deep Learning by Siraj☆265Updated 2 years ago
- A neural network written in Python, consisting of a single neuron that uses back propagation to learn.