A small implementation of ANN
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Updated
Dec 23, 2016 - Python
A small implementation of ANN
Visualize Tensorflow's optimizers.
How optimizer and learning rate choice affects training performance
The Deep Learning exercises provided in DataCamp
Residual Network Experiments with CIFAR Datasets.
Convenience classes/functions for common machine learning tasks
Some common module used in deep learning and machine learning
Stochastic Weight Averaging - TensorFlow implementation
Implementation of learning rate finder in TensorFlow
Cyclic learning rate TensorFlow implementation.
One cycle policy learning rate scheduler in PyTorch
Reproduction of the "Don't Decay the Learning Rate, Increase the Batch Size" conference paper.
useful function for applying discriminative learning rates to a model children
Pytorch implementation of arbitrary learning rate and momentum schedules, including the One Cycle Policy
Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
Play deep learning with CIFAR datasets
Deep_Learning: Stochastic Gradient Noise heavy tail distribution Analysis
Meta Transfer Learning for Few Shot Semantic Segmentation using U-Net
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
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