A generative adversarial network that trains on photos celebrities faces to produce new realistic face images
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Updated
Aug 6, 2020 - HTML
A generative adversarial network that trains on photos celebrities faces to produce new realistic face images
This project detects whethere brain tumour is present or not using VGG-16 convolutional neural network
Using convolutional neural networks to identify the breed of a dog from a supplied photo.
Traffic Sign Classifier (project 3 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
Recognizing unique facial expressions with deep learning
Prediction of Human Central Features Using a PLP-CNN Voice Input Approach
A website to detect Skin Cancer
Building and deploying a convolutional neural network (CNN) for accurately classifying landmarks from images using both custom CNNs and transfer learning techniques.
An implementation of the DeepInsight Visible Neural Network
Prediction of Covid19 from chest x-ray images through CNN
Use a convolutional neural network to classify the dataset CIFAR 10
A Diagnostics system to help doctors detect early symptoms of Melanoma | CNN | Python | Flask
Using Aerial Photography for Land Use Classification
This repository contains Python code and resources for training a Convolutional Neural Network (CNN) to detect tumors in brain MRIs.
π PyTorch Handwritten Digit Recognition π€ Discover the world of machine learning with our PyTorch Handwritten Digit Recognition project! π Data Exploration Explore the MNIST dataset with 60,000 training images and 10,000 testing images. π¦ Data Preparation Effortlessly set up and import the dataset using PyTorch and torchvision.
SDnDTI Tutorial
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