Artificial neural network construction and training
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Updated
Sep 20, 2015 - Python
Artificial neural network construction and training
All popular machine learning toolkits in one docker image.
Language modeling using nairaland featured links as dataset
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
All my presentations/reports + final project for the COMP767 reinforcement learning class at McGill.
Resources for Designing and Utilizing Neural Networks
For Ubuntu16.04
LSTM, theano, Attenetion Mechanism
Common OCR using neural networks
Creating an AI capable of commanding troops and comparing different methods
Computational & Deep Learning Frameworks Benchmark
Bayesian Logistic Regression with Python and PyMC3 to predict customer subscription for a financial institution.
It is an open-source Python library developed at MILA, that allows efficient definition, optimization, and evaluation of mathematical expressions, especially matrix-valued ones. It is widely used for deep learning and other machine learning tasks due to its ability to perform symbolic computation.
Playing ATARI games using a convolutional autoencoder and an evolutionary algorithm. Team name: bad_skiers_evolved (DeepHack.RL)
Sample code for creating a multi-layer perceptron using Theano.
An implementation of SRCNN
A program designed to solve partial differential equations using neural networks, that uses Theano for symbolic computation.
Deep learning (DL) materials collected from various sources including Udacity, Coursera, Udemy and many others. I also add my comments, notes and code for various DL topics. The main DL frameworks that I use for coding are Tensorflow, Kears and Theano. I will continue adding more materials and revising existing ones. I will also reorganize this …
A Theano re-implementation of the WCT net for style transfer
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