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GitHub topics: deep-learning-from-scratch

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 - ~5.3Γ— faster than NumPy

Language: Assembly - Size: 14.6 MB - Last synced at: 1 day ago - Pushed at: 17 days ago - Stars: 147 - Forks: 4

jedelist/CPP_MNIST

MNIST Handwritten Digits Classifier From Scratch In C++

Language: C++ - Size: 11 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

nabeelshan78/deep-nn-from-scratch

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.

Language: Jupyter Notebook - Size: 8.42 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

dsrub/DougNet

A lightweight, deep learning library written in pure Python

Language: Python - Size: 4.07 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

GeneHit/deep_learning_exercises

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

Language: Python - Size: 22 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

Apiquet/DeepLearningFrameworkFromScratch

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

Language: Jupyter Notebook - Size: 47.6 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 2

woodongk/keracorn-nlp-study

πŸ“– βŸͺλ°‘λ°”λ‹₯λΆ€ν„° μ‹œμž‘ν•˜λŠ” λ”₯λŸ¬λ‹2⟫ μŠ€ν„°λ”” 기둝 μ €μž₯μ†Œ

Language: Jupyter Notebook - Size: 43.1 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 1

azfarkhoja305/NeuralNets-from-scratch

Neural Network algorithms, concepts and application developed from scratch in python using just numpy, scipy and matplotlib libraries.

Language: Jupyter Notebook - Size: 12.1 MB - Last synced at: 5 months ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 1

Related Keywords
deep-learning-from-scratch 8 deep-learning 5 backpropagation 2 rnn 2 neural-network 2 neural-networks-from-scratch 2 cnn 2 lstm 1 mlp 1 mlp-classifier 1 rnn-language-model 1 tutorial 1 coding 1 exercises 1 numpy 1 practice 1 pytest 1 simple-framework 1 convolutional-neural-networks 1 pytorch 1 attention-mechanism 1 natural-language-processing 1 seq2seq 1 word2vec 1 digit-recognition-mnist 1 planar-data-classifier 1 assembly 1 from-scratch 1 low-level-programming 1 mnist-classification 1 x86-assembly 1 computer-vision 1 cpp 1 deep-neural-networks 1 object-oriented-programming 1 adam-optimizer 1 ai 1 gradient-descent 1 machine-learning 1 momentum-optimization-algorithm 1 rmsprop-optimizer 1 vectorization 1 cnn-classification 1 deep-learning-algorithms 1 deep-learning-library 1 deep-learning-tutorial 1