Repository with CNN code base on Lasagne and nolearn
-
Updated
Jun 14, 2017 - Python
Repository with CNN code base on Lasagne and nolearn
Some pretty easy (but still awesome) examples with artificial neural networks
Lasagne Implementation of Densely Connected Convolutional Networks
Boundary Equibilibrium Generative Adversarial Networks (BEGAN) in Lasagne-Theano
A simple implementation of the Deep Q-Network used to play Atari games
SqueezeDet object detector reimplemented in Theano/Lasagne
Using ConvNet as feature extractor using nolearn and lasagne
A CNN that learns how to pronounce Chinese characters.
Dockerfiles for deep learning tools.
Evaluating adipocyte differentiation of bone marrow-derived mesenchymal stem cells by a deep learning method for automatic lipid droplet counting
This work is part of practical Deep Learning in Computer Vision in which we apply CNN(Convolutional Neural Network) to predict protein function in different classes. We used Theano and lasagne deep learning libraries for CNN
neural network project for grad school, using lasagne
All my presentations/reports + final project for the COMP767 reinforcement learning class at McGill.
Dockerfile for Lasagne with Cuda support. Look at the branches for relevant Dockerfiles - ``cpu`` and ``gpu``.
Code for submission of Speiser et al to spike-finder-challenge 2017
Implementations of Deep Neural Networks, Recurrent Neural Networks and Convolutional Neural Networks
Prototype for a virtual keyboard based on IMUs and machine learning
Telegram bot for finding moments in video by text description via neural networks
Add a description, image, and links to the lasagne topic page so that developers can more easily learn about it.
To associate your repository with the lasagne topic, visit your repo's landing page and select "manage topics."