Implementing Neural Network from scratch (MLP and CNN), purely in numpy with optimizers
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Updated
Apr 27, 2022 - Python
Implementing Neural Network from scratch (MLP and CNN), purely in numpy with optimizers
ConvNN is used to predict digits for the MNIST dataset
Testing out Schedule vs Schedule Free Optimizer
This is a reposatory for implementation of different types of optimizers (SGD, RMSprop, Adam etc.) with three different use cases Function Approximation, Multi-class Single-label Classification and Multi-class Multi-label Classification)
Code to conduct experiments for the paper Modified Gauss-Newton method for solving a smooth system of nonlinear equations.
This GitHub repository contains the code used for CS-671: Introduction to Deep Learning course offered by IIT Mandi during the Even Semester of 2022. The repository includes the implementations of various deep learning algorithms and techniques covered in the course.
Learn DSPy framework by coding text adventure game
implementation of sophia (Second-Order cliPped stocHastic optimizAtion)
An electrical grid simulator to calculate the least grid cost using optimizers from nevergrad package.
Welcome to the Deep Learning Notes repository! This collection of notes is designed to provide a deep understanding, intuition, and real-world implications of deep learning. Whether you're a beginner or preparing for exams and interviews, these comprehensive and colorful notes will be your go-to readme resource.
Tutorials on optimizers for deep neural networks
0th order optimizers, gradient chaining, random gradient approximation
Embedding
Cognitive bias inspired GLVQ optimizers
This repository contains about final project for bachelor degree
Polyvalent neural network
Code to conduct experiments for the paper Regularization and acceleration of Gauss-Newton method.
Our objective is Classification of Citrus Leaves Data using CNN classifier. Here, we are comparing performances of different optimizers and hyper-parameters on the basis of different metrics like Accuracy, Precision, Recall.
Neural networks framework built from scratch on Python.
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