Play deep learning with CIFAR datasets
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Updated
Aug 27, 2020 - Python
Play deep learning with CIFAR datasets
A learning rate range test implementation in PyTorch
Visualize Tensorflow's optimizers.
An easy neural network for Java!
Videos of deep learning optimizers moving on 3D problem-landscapes
Improving MMD-GAN training with repulsive loss function
FIR & LMS filter implementation in C++ with Python & JAVA wrappers
Cyclic learning rate TensorFlow implementation.
PyTorch implementation of some learning rate schedulers for deep learning researcher.
One cycle policy learning rate scheduler in PyTorch
Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
Stochastic Weight Averaging - TensorFlow implementation
How optimizer and learning rate choice affects training performance
Improved Hypergradient optimizers, providing better generalization and faster convergence.
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
Meta Transfer Learning for Few Shot Semantic Segmentation using U-Net
OneCycle LearningRateScheduler & Learning Rate Finder for TensorFlow 2.
Pytorch implementation of arbitrary learning rate and momentum schedules, including the One Cycle Policy
Implementation of learning rate finder in TensorFlow
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