Implementing a convolutional neural net solution to the MNIST in Keras

Convolutional Neural Network

This is a simple application to test if we can beat captchas for fun

CNN model for Image Classification

Monkey species classification on the Kaggle dataset using CNNs

digits (mnist datasets) and fashion items (fashion_mnist datasets) recognition using python based KNN, neural network(NN), and convolutional neural network(CNN) algorithms

This code demonstrates a project that involves fine-tuning a BERT-based model for sentiment analysis on a custom dataset and using a convolutional neural network (CNN) for image classification on a subset of the CIFAR-10 dataset.

Image classification using deep learning models with activation map visualisation and TensorRT support

CNN implementation using keras

Convolutional Neural Networks classifier for QAP footprints problems

Docker-ized server to digitize physical chess boards and return the next best move

A Music player for music classification based on artificial intelligence algorithm

Prototipo Convolutional Neura Network Para obtener el título de Técnico Superior Unversitario En Tecnologías de la información Área Desarrollo de Software Multiplataforma

There are already many projects underway to extensively monitor birds by continuously recording natural soundscapes over long periods. However, as many living and nonliving things make noise, the analysis of these datasets is often done manually by domain experts. These analyses are painstakingly slow, and results are often incomplete.

Tesi di laurea, modello cnn per la valutazione del parkinson

Some snippet code about Audio signal processing

Fine-Grained Image Classification using simple CNN and transfer learning

Lung segmentation is done to aid in the diagnosis of lung diseases and help prevent future health issues. CNN algorithms will be used here and we shall compare the accuracies among the three models.

CNNs have become fundamental in computer vision and image analysis. They are behind cutting-edge technologies like image recognition, object detection, and more. Learning CNNs can open up exciting career opportunities and enable you to create innovative applications.

Deefake Detection Mini Project