Topic: backpropagation Goto Github
Some thing interesting about backpropagation
Some thing interesting about backpropagation
backpropagation,Data science teaching materials
User: adgefficiency
backpropagation,Classifying the Blur and Clear Images
User: aditya9211
backpropagation,Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
User: ahmedbesbes
backpropagation,Deep Learning Specialization course offered by DeepLearning.AI on Coursera
User: ahsan-83
backpropagation,A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their outputs
User: ameobea
Home Page: https://nn.ameo.dev
backpropagation,A new lightweight auto-differentation library that directly builds on numpy. Used as a homework for CMU 11785/11685/11485.
Organization: cmu-ideel
backpropagation,simple neural network library in ANSI C
User: codeplea
Home Page: https://codeplea.com/genann
backpropagation,Deep learning in Rust, with shape checked tensors and neural networks
User: coreylowman
backpropagation,Deep Learning From Scratch
Organization: dataforscience
Home Page: https://www.data4sci.com
backpropagation,A simple multi-layer feed-forward neural network with backpropagation built in Swift.
User: davecom
backpropagation,Simple multilayer perceptron c++ implementation.
User: davidalbertonogueira
backpropagation,Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
User: differential-machine-learning
Home Page: https://arxiv.org/abs/2005.02347
backpropagation,Six snippets of code that made deep learning what it is today.
User: emilwallner
backpropagation,数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波 数学函数拟合
User: ewenwan
backpropagation,Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
User: fotisk07
backpropagation,Visualizing how deep networks make decisions
User: greydanus
backpropagation,Backpropagate derivatives through the Cholesky decomposition
User: imurray
backpropagation,Implementing multilayer neural networks through backpropagation using Java.
User: jasonnor
backpropagation,Quantization-aware training with spiking neural networks
User: jeshraghian
backpropagation,Computer code collated for use with Artificial Intelligence Engines book by JV Stone
User: jgvfwstone
backpropagation,
User: jinyyy666
backpropagation,Notes for Deep Learning Specialization Courses led by Andrew Ng.
User: lijqhs
Home Page: https://lijqhs.github.io/deeplearning-notes/
backpropagation,simple machine learning demo
User: lucifier129
Home Page: https://lucifier129.github.io/simple-machine-learning-demo/
backpropagation,Model-based Policy Gradients
User: mahanfathi
backpropagation,Awesome deep learning crate
User: mikhailkravets
backpropagation,Build neural networks based only on Numpy
User: morvanzhou
backpropagation,Heterogeneous automatic differentiation ("backpropagation") in Haskell
User: mstksg
Home Page: https://backprop.jle.im
backpropagation,Mathematics paper recapitulating the calculus behind a neural network and its back propagation
Organization: olivia-ai
Home Page: https://www.academia.edu/50181662/The_math_behind_an_artificial_neural_network
backpropagation,This code is part of my post on Medium.
User: omaraflak
Home Page: https://medium.com/@omaraflak/math-neural-network-from-scratch-in-python-d6da9f29ce65
backpropagation,Artificial Neural Network
User: patrikeh
backpropagation,Back Propagation, Python
User: petrvacha
backpropagation,Particle Swarm Optimizer For Neural Network Training
User: piyush2896
backpropagation,The only dynamic and reconfigurable Artificial Neural networks library with back-propagation for arduino
User: pranavgulati
backpropagation,RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.
User: pvlachas
Home Page: https://www.cse-lab.ethz.ch
backpropagation,Python library for diffraction tomography with the Born and Rytov approximations
Organization: ri-imaging
Home Page: https://odtbrain.readthedocs.io
backpropagation,Caltech Machine Learning course notes and homework. Implements from scratch algorithms like SVM, neural networks, backpropagation, perceptrons and other linear classifiers.
User: roessland
backpropagation,An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
Organization: rubixml
Home Page: https://rubixml.com
backpropagation,A tiny neural network 🧠
User: saschagrunert
backpropagation,This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel J. Cooper, A. Freddie Page, Marc Peter Deisenroth
User: shantanu1109
backpropagation,A collection of all projects pertaining to different layers in the SDC software stack
User: sidroopdaska
backpropagation,My workshop on machine learning using python language to implement different algorithms
User: snrazavi
Home Page: http://www.snrazavi.ir/ml-with-python
backpropagation,Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
User: snrazavi
backpropagation,A simple machine learning framework written in Swift 🤖
User: somnibyte
backpropagation,Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
User: tanmayshankar
backpropagation,Supporting code for "End-to-end optical backpropagation for training neural networks".
User: tomdbar
Home Page: https://arxiv.org/abs/1912.12256
backpropagation,In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)
User: tootouch
backpropagation,PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
User: v-iashin
Home Page: http://cs231n.stanford.edu
backpropagation,适合新手学习的神经网络实践教程+代码。a awesome neural network practice project for newbie.我的CSDN博客:
User: varyshare
Home Page: https://blog.csdn.net/varyshare
backpropagation,This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated
User: vivianoriccardo
backpropagation,This resource implements a deep neural network through Numpy, and is equipped with easy-to-understand theoretical derivation, mainly for the in-depth understanding of neural networks. 神经网络模型的理论证明与基于Numpy的实现。
User: yuanxiaosc
Home Page: https://yuanxiaosc.github.io/2018/06/21/%E5%8F%8D%E5%90%91%E4%BC%A0%E6%92%AD%E7%AE%97%E6%B3%95/
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