#Cnns

amanchadha

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

adobe

antialiased-cnns

pip install antialiased-cnns to improve stability and accuracy

Nyandwi

ModernConvNets

Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras

amanchadha

stanford-cs231n-assignments-2020

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

amanchadha

FRVSR-GAN

A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs

neemiasbsilva

regression-in-CNNs-applied-to-plant-leaf-count

Regression in Convolutional Neural Network applied to Plant Leaf Count