deep-learning-from-scratch

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mohammad-ghaderi / mnist-asm-nn

A complete neural network built entirely in x86 assembly language that learns to recognize handwritten digits from the MNIST dataset. No frameworks, no high-level languages - just pure assembly from input pixels to trained weights.

neural-network assembly mnist-classification backpropagation from-scratch low-level-programming neural-networks-from-scratch deep-learning-from-scratch x86-assembly

Updated Oct 27, 2025
Assembly

Apiquet / DeepLearningFrameworkFromScratch

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Deep Learning Framework only using numpy: Linear, Convolution, Flatten, Max and Mean Pooling layers, activation functions, Softmax, MSE and Cross Entropy. Useful functions: train, save an load a model to deploy it, get nb of parameters, draw learning curves

deep-learning cnn pytorch convolutional-neural-networks deep-learning-from-scratch

Updated Apr 1, 2022
Jupyter Notebook

woodongk / keracorn-nlp-study

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📖 ⟪밑바닥부터 시작하는 딥러닝2⟫ 스터디 기록 저장소

natural-language-processing word2vec rnn seq2seq attention-mechanism deep-learning-from-scratch

Updated Jun 7, 2020
Jupyter Notebook

GeneHit / deep_learning_exercises

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A coding exercises with numpy and pytest for Deep Learning From Scratch

practice deep-learning numpy pytest coding exercises simple-framework deep-learning-from-scratch

Updated Feb 15, 2025
Python

dsrub / DougNet

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A lightweight, deep learning library written in pure Python

tutorial deep-learning cnn lstm deep-learning-algorithms rnn deep-learning-library mlp deep-learning-tutorial mlp-classifier cnn-classification rnn-language-model deep-learning-from-scratch

Updated Sep 20, 2024
Python

nabeelshan78 / deep-nn-from-scratch

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A fully vectorized Deep Neural Network (DNN) implementation built from scratch using only NumPy - no deep learning frameworks involved. Covers forward/backward propagation, activation functions, modular architecture, and training with different optimizers - a hands-on deep dive into the fundamentals of deep learning.