Some common module used in deep learning and machine learning
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Updated
Feb 23, 2019 - Python
Some common module used in deep learning and machine learning
TVLARS - A Fast Convergence Optimizer for Large Batch Training
Convenience classes/functions for common machine learning tasks
Investigating Gradient Descent behavior in linear regression
Interactive Learning Rate Scheduler for PyTorch
useful function for applying discriminative learning rates to a model children
Some tools for large mini-batch deep learning in standalone and distributed (main) scenarios.
This is our Final Project for our Big Data Class in Second Semister in Lambton College. In this project we learn about Nural Network and see how the change in the Number of Nurons and learning rate effects rate of learning.
The Deep Learning exercises provided in DataCamp
Statistical Digital Signal Processing and Modeling
Deep_Learning: Stochastic Gradient Noise heavy tail distribution Analysis
A small implementation of ANN
Reproduction of the "Don't Decay the Learning Rate, Increase the Batch Size" conference paper.
A method for assigning separate learning rate schedulers to different parameters group in a model.
Tensorflow-Keras callback implementing arXiv 1712.07628
This program implements linear regression from scratch using the gradient descent algorithm in Python. It predicts car prices based on selected features and uses a dataset of cars with their respective prices.
Residual Network Experiments with CIFAR Datasets.
A Warmup Scheduler for Pytorch to achieve the warmup learning rate at the beginning of training.
Pytorch implementation of arbitrary learning rate and momentum schedules, including the One Cycle Policy
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