Code in MATLAB for 1st order optimization algorithms implemented for elastic net regularized convex objective functions.
Keras Callback to Automatically Adjust the learning rate when it stops improving
Implementation of fluctuation dissipation relations for automatic learning rate annealing.
Warmup learning rate wrapper for Pytorch Scheduler
Pytorch implementation of arbitrary learning rate and momentum schedules, including the One Cycle Policy
Gradient based Hyperparameter Tuning library in PyTorch
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
Visualize the progress of the learning rate scheduler graphically.
Automatic learning-rate scheduler
Pytorch cyclic cosine decay learning rate scheduler
The machine learning task in this assignment is image classification using Convolutional Neural Networks in Tensorflow and Keras
Comprehensive image classification for training multilayer perceptron (MLP), LeNet, LeNet5, conv2, conv4, conv6, VGG11, VGG13, VGG16, VGG19 with batch normalization, ResNet18, ResNet34, ResNet50, MobilNetV2 on MNIST, CIFAR10, CIFAR100, and ImageNet1K.
Submission Akhir - Image Classification Model Deployment - Belajar Pengembangan Machine Learning - Dicoding
Polynomial Learning Rate Decay Scheduler for PyTorch
In this repository, I put into test my newly acquired Deep Learning skills in order to solve the Kaggle's famous Image Classification Problem, called "Dogs vs. Cats".
A guide that integrates Pytorch DistributedDataParallel, Apex, warmup, learning rate scheduler, also mentions the set-up of early-stopping and random seed.
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