Deep learning library in plain Numpy.
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Jun 21, 2022 - Python
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adagrad
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A collection of various gradient descent algorithms implemented in Python from scratch
machine-learning ai deep-learning machine-learning-algorithms ml deep-learning-algorithms gradient-descent adagrad rmsprop gradient-descent-algorithm adam-optimizer nesterov-accelerated-sgd nesterov-momentum nesterov momentum-optimization-algorithm
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Feb 28, 2023 - Python
A compressed adaptive optimizer for training large-scale deep learning models using PyTorch
hashing deep-learning neural-network pytorch transformer imagenet count-min-sketch language-model adagrad adam-optimizer sgd-optimizer count-sketch sgd-momentum
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Nov 26, 2019 - Python
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.
deep-neural-networks deep-learning time-series recurrent-neural-networks pca-analysis rnn adagrad rmsprop leaky-relu adam-optimizer random-forest-regressor adamax
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Aug 16, 2016 - Python
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
adadelta momentum gradient-descent optimization-methods optimization-algorithms adam adagrad rmsprop gradient-descent-algorithm stochastic-optimizers stochastic-gradient-descent gradient-boosting adam-optimizer adamax stochastic-optimization batch-gradient-descent nesterov-accelerated-sgd amsgrad nesterov-momentum nadam
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Mar 23, 2019 - Python
SC-Adagrad, SC-RMSProp and RMSProp algorithms for training deep networks proposed in
python deep-neural-networks deep-learning optimization keras online-learning adagrad rmsprop stochastic-gradient-descent
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Oct 5, 2018 - Python
Implementation of Convex Optimization algorithms
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Jul 27, 2018 - Python
Song lyrics generation using Recurrent Neural Networks (RNNs)
machine-learning numpy song-dataset pandas recurrent-neural-networks character-encoding supervised-learning rnn sequence-to-sequence rnn-model adagrad kaggle-dataset cross-entropy recurrent-neural-network song-lyrics lyrics-fetcher lyrics-generator song-lyrics-generator implement-a-neural-network-model rnn-from-scratch
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Dec 13, 2019 - Python
Python library for neural networks.
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Dec 29, 2016 - Python
a python script of a function summarize some popular methods about gradient descent
machine-learning math algorithms simulation plotly matrix-factorization least-squares gradient-descent mathematical-modelling optimization-algorithms adagrad simulation-modeling matrix-decompositions coordinate-descent impute-algorithm momentum-strategy plotting-in-python
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Jul 13, 2021 - Python
Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.
neural-network mse batch-normalization convolutional-layers regularization convolutional-neural-networks gradient-descent affine-layer adagrad rmsprop xavier-initializer adam-optimizer softmax-layer relu-layer padding-layer loss-layers
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Oct 27, 2017 - Python
Classification of data using neural networks — with back propagation (multilayer perceptron) and with counter propagation
python neural-network adadelta gradient-descent adam adagrad rmsprop back-propagation adamax gradient-descent-momentum counter-propagation
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Aug 10, 2021 - Python
gradient descent optimization algorithms
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Aug 21, 2018 - Python
building a neural network classifier from scratch using Numpy
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Apr 6, 2019 - Python
Performing sentiment analysis on tweets obtained from twitter.
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Nov 2, 2017 - Python
This project focuses on land use and land cover classification using Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). The classification task aims to predict the category of land based on satellite or aerial images.
machine-learning deep-learning tensorflow optimizer python3 artificial-intelligence supervised-learning rnn adagrad adam-optimizer cnn-classification sgd-optimizer nadam lulc-classification rmsprop-optimizer
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Jun 28, 2024 - Python
Classifying sentiments of tweets as positive or negative
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May 19, 2018 - Python
Implementation and brief comparison of different First Order and different Proximal gradient methods, comparison of their convergence rates
python data-science machine-learning numpy sklearn matplotlib gradient-descent adagrad fista variance-reduction stochastic-gradient-descent first-order-methods subgradient proximal-gradient-descent ista proximal-gradient-method accelerated-gradient
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Sep 25, 2022 - Python
Implementation of optimization and regularization algorithms in deep neural networks from scratch
deep-neural-networks deep-learning optimization regularization gradient-descent cifar optimization-algorithms cifar10 adam l2-regularization adagrad rmsprop cifar-10 l1-regularization regularization-methods
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Nov 23, 2022 - Python
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