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7 search results found
Deepnet
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267
Implementations of CNNs, RNNs and deep learning techniques in pure Numpy
Gradient Descent Algorithms
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19
A collection of various gradient descent algorithms implemented in Python from scratch
Timeserieslearning
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14
The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, backfill, and predict time-series using a large number of heterogeneous training datasets.
Machinelearning
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13
From linear regression towards neural networks...
Count Sketch Optimizers
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10
A compressed adaptive optimizer for training large-scale deep learning models using PyTorch
Paper Implementation Overview Gradient Descent Optimization Sebastian Ruder
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[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
Networks
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6
Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.
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