tensor
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Image recognition and classification using Convolutional Neural Networks with TensorFlow
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Apr 30, 2017 - Python
Spiking neural networks are biologically plausible CNNs which learn through a temporally dependent learning method known as Spike Time Dependant Plasticity (STDP)- an alternate to gradient descent. This repository contains layers built on top of Lasagne layers for spiking neural networks. This is the first implementation of spiking neural networ…
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Aug 2, 2017 - Python
Python code used in NIPS 2017 paper: Fitting Low-Rank Tensors in Constant Time, by K. Hayashi and Y. Yoshida
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Jan 27, 2018 - Python
A Python module for compiling PyTorch graphs to C
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Feb 2, 2018 - Python
code for kassandra prediction engine
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Feb 16, 2018 - Python
Experiments from the article "Tensorial Mixture Models"
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Apr 4, 2018 - Python
An implementation of various tensor-based decomposition for NN & RNN parameters
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Jun 3, 2018 - Python
Predicts sales using Tensorflow
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Jul 23, 2018 - Python
📝 Apply Deep Learning Concepts to MNIST Dataset with TensorFlow
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Aug 2, 2018 - Python
Show you what's the shapes of the RNNs outputs and states.
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Dec 6, 2018 - Python
High Order SVD and ACA Homework from Low Rank approximation lecture
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Dec 7, 2018 - Python
Deep Q Network with TensorFlow, used to solve CartPole environment from Gym.
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Jan 10, 2019 - Python
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