A LSTM neural network used for generating new names based on learning a given huge amount of data set
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Updated
Oct 13, 2016 - Python
A LSTM neural network used for generating new names based on learning a given huge amount of data set
A simple wrapper to flexibly create a SequenceGenerator Machine learning using LSTM Networks in TfLearn.
A lstm-char-rnn generator (neural network) made in TFLearn generating quotes.
Sentiment analysis on IGN data for Siraj's code challenge
Testing out TFLearn
Little experiments in artificial intelligence
Master project on OCR Correction of Le Temps Corpus
Deep Learning Nano Degree
RNN-LSTM that learns passwords from a starting list
ResNet trained on SAT dataset.
Comparison of TensorFlow Wrappers
Image recognition and classification using Convolutional Neural Networks with TensorFlow
implementation of the paper "k-sparse autoencoders."
An image classifier that uses the CIFAR-10 data set for training. This is Project-2 of Udacity's Deep Learning Foundations Nanodegree.
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