deepnet

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

ResNet in tensorflow for CIFAR-100, CIFAR-10

Implementation of Deep Neural Network from scratch without other librariees

Implementations of AutoEncoders, Deep Belief Networks in DL4J (Java)

Multipurpose modular deep learning neural network with opengl visualization

This is a simple guide on how to use supervisley!!

Google SVHN Prediction using Keras Tuned CNN model and Transfer Learning

The goal of this project is to design and train deep convolutional neural networks using PyTorch. I will design a deep net architecture to classify (small) images into 100 categories and evaluate the performance of the architecture by uploading the predictions to the Kaggle competition.

The primary objective of this project is to detect fraud in a financial system as efficient as possible using AI.