Designed three speech denoising networks using 1-D CNN, 2-D CNNarchitectures to reduce the problem of noise in speech recognition

Code implementation of major Convolutional Neural Networks

Implementing Classic CNN Architectures (AlexNet, VGG, ResNet, GoogLeNet) in PyTorch.

dataset available at: https://www.kaggle.com/code/shivamb/cnn-architectures-vgg-resnet-inception-tl/data

CNNArchitecture-Assignment

TensorFlow graph implementations for commonly used CNN architectures.

A collection of popular and custom Convolutional Neural Network (CNN) architectures implemented in PyTorch/TensorFlow — including LeNet, AlexNet, VGG, ResNet. Ideal for learning, benchmarking, and deep learning research.

This repository is used to overview architectures of convolutional neural networks and compare them

Trained throughNVIDIA’s end to end CNNarchitecture by taking front camera images at 30 FPS and correspondingSteering Angles as inputs and visualization of Steering Angle outputs on test data