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gradient-check

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sauriii98 / Deep-Learning-algorithms

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Implementation of all basic algorithms needed in Deep Learning

deep-neural-networks deep-learning cnn neural-networks deep-learning-algorithms optimization-methods residual-networks optimization-algorithms binary-classification cnn-model basic-algorithm logistic-regression-algorithm initialization cnn-classification gradient-check cat-notcat-classification logistic-regression-using-nn regularization-methods
  • Updated Jan 27, 2019
  • Jupyter Notebook

DunittMonagas / Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization

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Curso Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization. Segundo curso del programa especializado Deep Learning. Este repositorio contiene todos los ejercicios resueltos. https://www.coursera.org/learn/neural-networks-deep-learning

tensorflow dropout batch-normalization momentum gradient-descent hyperparameter-tuning l2-regularization rmsprop stochastic-gradient-descent adam-optimizer mini-batch-gradient-descent gradient-check
  • Updated Jan 11, 2019
  • Jupyter Notebook

CJX0712 / conv-forge

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Conv Forge · 卷积神经网络锻造炉 — 单文件零依赖，手写 2D 卷积(im2col+GEMM)/最大池化/反向传播，数值梯度检验对拍到机器精度，端到端训练真实收敛，10 项不变量全绿。作者：晨星 (CJX0712)

machine-learning deep-learning neural-network cnn convolution zero-dependency backpropagation from-scratch single-file im2col gradient-check chenxing single-file-html verification-first
  • Updated Oct 17, 2026
  • HTML

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