Convolutional Neural Networks repository for all projects of Course 4 of 5 of the Deep Learning Specialization covering CNNs and classical architectures like LeNet-5, AlexNet, GoogleNet Inception Network, VGG-16, ResNet, 1x1 Convos, OverFeat, R-CNN, Fast R-CNN, Faster R-CNN, YOLO, YOLO9000, DeepFace, FaceNet and Neural Style Transfer.

An implementation of GoogLeNet Inception V3 by Pytorch. The implementation can be adapted to any size of picture input.

Inception - Going Deeper with Convolutions

GoogLeNet v1 tensorflow代码实现

Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO for Classification and Regression)

Generating FEN Descriptions of Chess Boards by Using Two Important Pre-trained CNN Architectures

Building & Deploying Computer Vision Models

This GitHub repository aims to provide comprehensive overview of the evolution of GoogLeNet, a popular Convolutional Neural Network architecture developed by Researchers at Google for image classification tasks.

This repository aims to provide a valuable resource for individuals interested in learning and mastering TensorFlow, an open-source machine learning framework developed by Google.

The goal of this project is to employ deep learning models and advanced techniques to identify abnormalities by analyzing images of the skin tissues.

GoogleNet Architecture is trained on CIFAR10 Dataset and LSTM Architecture is trained on IBM Stocks Dataset