GitHub / Cufeyue / Neural-Networks-from-Scratch-Numpy-Implementation
In this project, we will construct deep learning models from scratch using NumPy , including linear regression, logistic regression, and neural networks. we also converge parameter estimation, back-propagation, and statistical inference.
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PURL: pkg:github/Cufeyue/Neural-Networks-from-Scratch-Numpy-Implementation
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License: mit
Language: Jupyter Notebook
Size: 351 KB
Dependencies parsed at: Pending
Created at: about 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: 6 months ago
Topics: backpropagation, deep-learning, deep-neural-networks, from-scratch, implementation, linear-regression, logistic-regression, neural-networks, numpy, parameter-estimation, statistical-inference