Rede Neural Convolucional para predição de Dígitos Manuscritos em Python, usando o framework TensorFlow com Keras

Looking for the best parameters using a genetic algorithm

In this series of deep learning sessions on CNN, we will go through variety of applications and also understand the basic concepts behind CNN and implement them.

Rest-API for detection of COVID-19 using chest radiography and CT_scans

Udacity Computer Vision Nanodegree (Facial Keypoint Detection Project)

The app takes image input from the user and accurately classifies the landmark in the image. It gives the top 5 possible landmark names with the probability.

Image Classification using Convolutional Neural Networks: A Deep Learning Approach for Diagnosing Eye Diseases

Trying to code Resnet50 on pytorch and testing it on CIFAR10 dataset

Find App Link below. This project involves using CNNs to predict facial landmarks on images of cat faces. It utilizes Python, OpenCV, TensorFlow, and Keras libraries for image processing, modeling, and training. The ResNet50 architecture is employed as the base model, augmented with dense layers for facial landmark prediction

Written DNN whole basic architecture using python

Convolutional Neural Network with a custom architecture used for binary classification of images. The model predicts whether the car is a whole or a damaged.

Use Convolutional Neural Network to learn from dataset and identify dog breeds using dog images

Deep Learning Specialization

Transformed raw text data into images with the help of Stanford developed GloVe word embeddings. Used with a custom designed ConvNet, in 1D.

Unet per la segmentazione di immagini biomediche

Implement VGG19 based NN to design Artistic-Style-Transfer Neural Net using the concept of Generative Adversial Neural Network.

Deep Learning Projects

Classic-CNN-Architectures

Study of leNet implementation in Python3.6 with Keras+Tensorflow backend.