📖 ⟪밑바닥부터 시작하는 딥러닝2⟫ 스터디 기록 저장소
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Jun 7, 2020 - Jupyter Notebook
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deep-learning-from-scratch
Here are 7 public repositories matching this topic...
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
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Apr 1, 2022 - Jupyter Notebook
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
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Sep 20, 2024 - Python
A coding exercises with numpy and pytest for Deep Learning From Scratch
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Feb 15, 2025 - Python
Neural Network algorithms, concepts and application developed from scratch in python using just numpy, scipy and matplotlib libraries.
neural-networks-from-scratch digit-recognition-mnist deep-learning-from-scratch planar-data-classifier
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Aug 23, 2018 - Jupyter Notebook
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.
machine-learning ai deep-learning neural-network gradient-descent vectorization backpropagation adam-optimizer deep-learning-from-scratch momentum-optimization-algorithm rmsprop-optimizer
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Jun 30, 2025 - Jupyter Notebook
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