Udacity Nanodegree Capstone Project: Multiple digit recognition from google street view housing number data

🔬 Nano size Theano LSTM module

My solution to the 2nd assignment of UdelaR's Deep Learning course, based on Stanford CS231n.

This repository contains the code used to produce the results presented in the IJCNN 2017 paper "DropIn: Making Reservoir Computing Neural Networks Robust to Missing Inputs by Dropout" by D. Bacciu, F. Crecchi (University of Pisa) and D. Morelli (Biobeats LTD).

Applying Deep Machine Learning for psycho-demographic profiling of Internet users using O.C.E.A.N. model of personality.

TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)

Application of Regularized Neural Network and Dropout on various Data-sets. Using Tensorflow and Python

Identify traffic sign images through Supervised Classification via Deep Learning and Computer Vision using Python, Tensorflow, Jupyter and Anaconda in AWS Cloud.

Real-world application sized Neural Network. Implemented back-propagation algorithm with momentum, auto-encoder network, dropout during learning, least mean squares algorithm.

The tools and syntax you need to code neural networks from day one.

Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch

Fraternal Dropout (Research)

Neural Machine Translation with Fraternal Dropout

A Simple dropout implementation in C++

Implemented the deep learning techniques using Google Tensorflow that cover deep neural networks with a fully connected network using SGD and ReLUs; Regularization with a multi-layer neural network using ReLUs, L2-regularization, and dropout, to prevent overfitting; Convolutional Neural Networks (CNNs) with learning rate decay and dropout; and R…

Predict the likelihood of a student dropping out of school

Customized Caffe for pseudo-random dropout

PyTorch Implementations of Dropout Variants

Selective Classification For Deep Neural Networks.