DeepNeuralNetworksFromScratch
IntroDLPython
DeepNeuralNetworksFromScratch | IntroDLPython | |
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8 | 31 | |
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0.0 | 1.2 | |
over 1 year ago | about 1 year ago | |
Python | Python | |
MIT License | - |
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DeepNeuralNetworksFromScratch
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Yet Another Deep Neural Network Library From Scratch Library (pure NumPy and Numba)
Deep Neural Networks From Scratch
IntroDLPython
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A Comprehensive Guide to the Backpropagation Algorithm in Neural Networks
Also, we’ll discuss how to implement a backpropagation neural network in Python from scratch using NumPy, based on this GitHub project. The project builds a generic backpropagation neural network that can work with any architecture.
What are some alternatives?
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
DiffMorph - Image morphing without reference points by applying warp maps and optimizing over them.
dl-4-tsc - Deep Learning for Time Series Classification
robo-vln - Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"
SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.
Neupy - NeuPy is a Tensorflow based python library for prototyping and building neural networks
Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.
TicTacToe - Tic Tac Toe game, designed to be used to train a Deep Neural Network via Reinforcement Learning (DQN). It can also be played by 2 humans and features a hard coded AI that never looses and will win if you do not do perfect play against it.
Convolution-From-Scratch - Implementation of the generalized 2D convolution with dilation from scratch in Python and NumPy
MAGIST-Algorithm - Multi-Agent Generally Intelligent Simultaneous Training Algorithm for Project Zeta
pyradox - State of the Art Neural Networks for Deep Learning