Simple Neural Network with a hidden layer written from scratch using Numpy for prediction the bike sharing sales
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Updated
Aug 16, 2017 - HTML
Simple Neural Network with a hidden layer written from scratch using Numpy for prediction the bike sharing sales
Implemented a CNN to classify images from CIFAR-10 dataset
Stanford's Machine Learning course on Coursera
An obstacle avoiding mobile robot
Optimally train neural networks (ICLR 2024)
API proposal to accelerate ML on the web
This is a Neural Network-based Linear Regression Model that demonstrates convergence.: See How Neural Networks Learn.
Model to predict bank customer churn
Broken AI
Pure Numpy implementation of Fully Connected Neural Networks with gradient descent for weight optimisation
Implementing different algorithm/technique(s) to predict the cuisine of a given recipe
A deep learning project focused on classifying road signs using the GTSRB dataset. This repository includes data augmentation, model optimization, and regularization techniques, featuring both CNN and ResNet-inspired architectures tested under diverse conditions.
Malaria Detection using CNN's
Machine Learning course offered by DeepLearning.AI and Stanford.
Udacity Self Driving Car Nanodegree - Traffic Sign Classification
Notebooks about training networks from scratch taught under the School of AI
Neural cryptography for key exchange
University of Utah—MKTG 6600: Business Algorithms | Taken: Fall 2020
Different techniques to analyse sentiments from the text data
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