Automatic Rodent Identification in Camera Trap Images using Deep Convolutional Neural Networks - Capstone project 2016

convolutional neural nets using keras in the pursuit of education

this is a classification model for cat vs dog classification problem

基于卷积神经网络的人脸识别项目

I was just getting started with the Convolutional Neural Networks. This is my first CNN project which is designed and trained to detect handwritten digits. The model is trained upon MNIST dataset.

This is my deep learning repository where I applied some deep learning state-of-the-art techniques and architecture to the dataset.

The repository contains the Convolution Neural Network model that can be used to predict a grayscale digit trained on MNIST dataset from Keras.

Facial_Expression_Recognition_using_CNN_and_OpenCV

An interactive machine learning application on a virtual robot within a pybullet simulated environment

This tutorial demonstrates data augmentation: a technique to increase the diversity of your training set by applying random (but realistic) transformations, such as image rotation. You will learn how to apply data augmentation in two ways: Use the Keras preprocessing layers, such as tf. keras.

This is the collection of labs in the ML course offered at Innopolis University. I will keep it updated as I move forward.

ASKiT-QA : A knowledge-base based Extractive Question-Answering system

A spam classifier is built using distinct tools with the objective of comparing the results of each approach.

An example of Jax usage with the new Keras 3.0 API release

Many Neural Network architectures are there. Basically Keras applications. You can find here the structures, implementations all you need. Have fun!

Deep Learning project for Airbnb price prediction, featuring data preprocessing and neural network models in Google Colab.

Unpaired Image to Image Translation Using Cycle GANs in Tensorflow 2.0

Simple nerual network using keras.