67% accuracy on test set of CIFAR-100 by CNN in Keras without transfer learning

Predicting Turbine Energy Yield (TEY) using ambient variables as features.

Dropout: A Simple Way to Prevent Neural Networks from Overfitting

This is Collection of Regularization Deep learning techniques with code and paper

Keras Deep Learning projects including Classifying Images for ImageNet data using CNNs, Transfer Learning and Hyperparameter Optimization

A repository to show how Dropout in Keras can Prevent Overfitting

Used tensorflow's neural network model to predict whether or not a person pays back a loan on the basis of his historical data and personal details of 3.9 lakh people like interest rate, employment details, address, etc.

Building & Deploying Computer Vision Models

Cats vs dogs classification using deep learning. Data augmentation and convolutional neural networks.

Understanding hyperparameters of neural network architectures using 3 cost functions, 3 activation functions, 2 regularizations and dropout.

Deep Neural Network Spam Email Classifier

A simple study on the use of Keras framework (with Tensorflow background) for a simple handwritten number image classification task with Deep Neural Networks.

Program implements a convolutional neural network for classifying images of numbers in the MNIST dataset as either even or odd using GPU framework.

Job Prediction given job description and skills

In this project, comparison of glasses and toothbrushes was done by using deep learning algorithm.

Sequential Convolutional Neural Network for handwritten digits recognition trained on MNIST dataset using keras API

A project from the AI_primer course at Vilnius university.

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