American Sign Language (ASL) Detection using CNN
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Updated
May 25, 2024 - HTML
American Sign Language (ASL) Detection using CNN
This project is a deep learning model built with PyTorch that classifies images into two categories: cats and dogs.
Open-source AI library (audio to text, simple NLP and algorithms)
QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras, and PyTorch
Get Started with Deep Learning
"A TensorFlow-based neural network model for classifying handwritten digits from the MNIST dataset."
learning python day 11
Project inspired by a book titled, "Artificial Intelligence," by Copeland. One of the World's first Quantum Neural Networks ever invented.
Here, we will provide a PyTorch regime to handle the partial differential equation solution of the heat equation by executing Deep Kolmogorov Method of Beck et. al.
Python from-scratch implementation of a Neural Network Classifier
Implementations of neural networks in python for the classification of MNIST datasets.
Neural-Net-Numpy(NNN) is a simple python package for training neural networks using only numpy components
First task in course
Create manually a Neural Network model to predict unicode chars
"The 'Activation Functions' project repository contains implementations of various activation functions commonly used in neural networks. "
Spring 2024: CS5720: Neural Network Deep Learning: In Class Programming Assignment-6
INTRODUCTION OF DEEP LEARNING
Journey to Learn Deep Learning with Pytorch from scratch i.e, from Tensor & Gradients to Advance topic like Generative Adversarial Networks
It is small Web app for Visualization of Activation Function
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