Implementing a Neural Network from Scratch

B站视频系列-从零开始的神经网络

Building Simple versions of AI (ML, DL, NN) models from scratch to help grasp the concepts

Multilayer Neural Network using numpy.

C++17 Neural Network (NN), Convolutional Neural Network (CNN) and Deep Learning for Esp32 on IDF from scratch

:star: Implementation of Neural Networks from Scratch Using Python & Numpy :star:

Implement classic neural networks from scratch without using nn.Module, to deeply understand PyTorch and model principles.

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Implementing from scratch: NN, RNN, LSTM, GRU and CNN using theano.

My runthrough of karpathy's lectures (with notes), building NN's from scratch, simple autoregressive language models, GPT models and learnt ML techniques.

A Neural Network implemented from scratch as per http://neuralnetworksanddeeplearning.com/ in Rust. This is then trained on MNIST. This is also used in Rust-NN-Web project to compile to WASM and recognize digits.

利用numpy实现神经网络-FC、CNN、RNN、LSTM

Creating a Neural Network from Scratch

Machine Learning - Solving k-Nearest Neighbors classification algorithm in Python with Pandas and Numpy from scratch.

Mnist digits multi perceptron neural-network training from scratch with c++ and opencv matrix. (nn with c++)

Implementing nn.Conv2d from scratch (in CUDA)

A fully NumPy-based feedforward neural network to classify handwritten digits, built from scratch no TensorFlow or PyTorch involved!

NN from Scratch - No Tensorflow

NN and CNN implementation from scratch in PyTorch with data loading, training, and evaluation phase on CIFAR 100 image dataset

Implemented all the major machine learning algorithms from scratch using python. Algorithm involve Logistic Regression, SVM, Naive Bayes, K-NN, Decision Tree, Random Forest, Neural Network, Optimization Technique, Lasso and Ridge Regression

Simple NN with 1 hidden layer (tanh activation) from scratch and with use of TensorFlow

Implementing a Neural Network from scratch in Python.

Neural Networks from scratch

Meta NN deeplearning framework from scratch

Simple Convolutional NN with Pool layer from scratch using numpy

Simple deep NN with 3 hidden layers from scratch and with use of TensorFlow

Logistic Regression as NN with 1 neuron from scratch and with use of TensorFlow

Simple NN with L2 regularization and Dropout from scratch and with the use of TensorFlow

Classification of spondylodiscitidis vs metastasis in the spine using Neural Networks

A minimal code example that trains a neural network for MNIST classification from scratch