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#

weight-initialization

Here are 25 public repositories matching this topic...

All the code files related to the deep learning course from PadhAI

  • UpdatedApr 13, 2020
  • Jupyter Notebook

AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks

  • UpdatedOct 26, 2022
  • Python

A module for making weights initialization easier in pytorch.

  • UpdatedFeb 9, 2018
  • Python

Excel file and Python code used in the published SLR paper: RNN-LSTM: From Applications to Modeling Techniques and Beyond - Systematic Review

  • UpdatedNov 13, 2024
  • Jupyter Notebook

How weight initialization affects forward and backward passes of a deep neural network

  • UpdatedJun 10, 2017
  • Python

Neural Networks: Zero to Hero. I completed the tutorial series by Andrej Karpathy

  • UpdatedSep 23, 2023
  • Jupyter Notebook

Comapring different methods of weight initialization and optimizers using PyTorch

  • UpdatedJun 6, 2022
  • Jupyter Notebook

Why don't we initialize the weights of a neural network to zero?

  • UpdatedJul 6, 2022
  • Jupyter Notebook

This repo will describe the preparation process of deep learning weights before the training to capture essential information about data fed

  • UpdatedJun 2, 2024
  • Python

This repository showcases a structured and progressive approach to training a Convolutional Neural Network (CNN) for binary image classification (cats vs dogs).

  • UpdatedJun 15, 2025
  • Jupyter Notebook

Data driven initialization for neural network models

  • UpdatedJul 29, 2024
  • Jupyter Notebook

This code implements neural network from scratch without using any library

  • UpdatedJan 8, 2022
  • Python

Variance normalising pre-training of neural networks.

  • UpdatedJun 22, 2021
  • Jupyter Notebook

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