It's a demonstration for implementing NN without using any deep learning library.
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Updated
Jan 20, 2019 - Python
It's a demonstration for implementing NN without using any deep learning library.
A highly modular design and implementation of fully-connected feedforward neural network structured on NumPy matrices
CNN, ANN, Python, Matlab
Logistic Regression and Neural Networks implementation from scratch
Desenvolvimento de ferramenta para efetuar a Modelagem e a Migração Sísmica de um modelo 2D.
Fit functions using the Backpropagation Algorithm. 一个使用反向传播算法拟合函数的工具。
Digit Recognition Neural Network: Built from scratch using only NumPy. Optimised version includes HOG feature extraction. Third version utilises prebuilt ML libraries.
Neural Network using NumPy, V1: Built from scratch. V2: Optimised with hyperparameter search.
搭建、深度学习、前向传播、反向传播、梯度下降和模型参数更新、classification、forward-propagation、backward-propagation、gradient descent、python、text classification
This code uses computational graph and neural network to solve the five-layer traffic demand estimation in Sioux Falls network. It also includes comparison of models and 10 cross-validations.
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