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learning-rate

Here are 74 public repositories matching this topic...

farhaanbukhsh / Neural-Network

A small implementation of ANN

machine-learning neural-network ann learning-rate stress-train

Updated Dec 23, 2016
Python

PixelSenseiAvi / ML

Linear Regression, Classification, Naive Bayes Spam Classification

linear-regression ml naive-bayes-classifier gradient-descent learning-rate spam-classification predicted-values

Updated Aug 28, 2017
R

pcluteijn / MazeLearning

Q-Learing algorithm solves simple mazes.

agent matlab maze q-learning artificial-intelligence discrete-mathematics reinforcement-learning-algorithms maze-generator learning-rate maze-solver reinforcedlearning prims-algorithm sutton barto reinforcement-learning-analysis reinforcement-learning-agent step-size discount-rate

Updated Sep 29, 2017
MATLAB

Ravoxsg / UofT_Adaptive_LR_optimizer

We built an optimization technique that, at each learning step, automatically learns which best learning rate to use for gradient descent.

machine-learning optimization gradient-descent learning-rate meta-learning gradient-descent-optimizers

Updated Dec 20, 2017
Jupyter Notebook

divyachandramouli / Ex1_Linear_Regression_Prediction_Models

Univariate linear regression model to predict food truck profits | Multivariate linear regression model to predict housing prices

machine-learning matlab linear-regression octave gradient-descent learning-rate

Updated Feb 16, 2018
MATLAB

j-w-yun / optimizer-visualization

Visualize Tensorflow's optimizers.

machine-learning tensorflow optimization-algorithms learning-rate optimizer-visualization adamoptimizer gradientdescentoptimizer

Updated Mar 7, 2018
Python

bo4arovpavel1989 / custom_nn

Customizible neural net constructor.

learning neural-network deep net neural xor learning-rate neuro custom-nn

Updated Mar 29, 2018
JavaScript

wassname / viz_torch_optim

Videos of deep learning optimizers moving on 3D problem-landscapes

machine-learning deep-learning optimizer pytorch optimization-algorithms learning-rate 3d-graphics vizualisation

Updated Apr 12, 2018
Jupyter Notebook

Octavian-ai / learning-rates

How optimizer and learning rate choice affects training performance

ai deep-learning optimizer hyperparameters learning-rate

Updated Apr 12, 2018
Python

JoyeBright / DeepLearningDC

The Deep Learning exercises provided in DataCamp

Updated May 12, 2018
Python

connorcl / pytorch-lr-explorer

A Jupyter notebook exploring sophisticated learning rate strategies for training deep neural networks

deep-learning jupyter-notebook cnn python3 pytorch learning-rate pytorch-image-classifier

Updated Jun 11, 2018
Jupyter Notebook

BIGBALLON / ResNet_CIFAR

Residual Network Experiments with CIFAR Datasets.

tensorflow keras resnet learning-rate cifar-10 cifar-100

Updated Jun 20, 2018
Python

nrichards17 / richml

Convenience classes/functions for common machine learning tasks

machine-learning pytorch learning-rate

Updated Oct 17, 2018
Python

PPPW / fastai-v1-1cycle-for-v0_7

deep-learning fastai learning-rate

Updated Dec 10, 2018
Jupyter Notebook

sivaramakrishnan-rajaraman / Learning-Rate-Adaptation-during-Model-Training-toward-Skin-Cancer-Classification

skin machine-learning image-processing tumor classification artificial-neural-networks dermatology learning-rate multilayer-perceptron-network skin-cancer

Updated Dec 13, 2018
Jupyter Notebook

fitushar / Cyclical-Learning-Rates-for-Training-Neural-Networks-With-Unbalanced-Data-Sets

As the learning rate is one of the most important hyper-parameters to tune for training convolutional neural networks. In this paper, a powerful technique to select a range of learning rates for a neural network that named cyclical learning rate was implemented with two different skewness degrees. It is an approach to adjust where the value is c…

neural-network clr cnn range hyperparameters learning-rate expense cyclical-learning-rates epochs learning-rates clr-policies skewness-degrees

Updated Jan 19, 2019
Jupyter Notebook

coxy1989 / superconv

TensorFlow/Keras implementation of the paper: 'Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates'

deep-learning tensorflow keras smith learning-rate super-convergence leslie

Updated Jan 24, 2019
Jupyter Notebook

coxy1989 / clr

Pytorch implementation of the paper: 'Cyclical Learning Rates for Training Neural Networks'

deep-learning clr pytorch reproduction smith learning-rate cyclical-learning-rates leslie

Updated Jan 24, 2019
Jupyter Notebook

nianzu-ethan-zheng / Self-write-module

Some common module used in deep learning and machine learning

machine-learning utility deep-neural-networks module deep-learning learning-rate

Updated Feb 23, 2019
Python

JGuillaumin / swa-tf

Stochastic Weight Averaging - TensorFlow implementation

tensorflow learning-rate ema swa stochastic-weight-averaging averages-weights

Updated Mar 2, 2019
Python

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