Topic: learning-rate Goto Github
Some thing interesting about learning-rate
Some thing interesting about learning-rate
learning-rate,Meta Transfer Learning for Few Shot Semantic Segmentation using U-Net
User: ahirsharan
learning-rate,sharpDARTS: Faster and More Accurate Differentiable Architecture Search
User: ahundt
Home Page: http://arxiv.org/abs/1903.09900
learning-rate,A gradient descent module for humans 🏔️
User: akshaybahadur21
learning-rate,Deep_Learning: Stochastic Gradient Noise heavy tail distribution Analysis
User: anmolaggarwal98
learning-rate,OneCycle LearningRateScheduler & Learning Rate Finder for TensorFlow 2.
User: benihime91
learning-rate,FIR & LMS filter implementation in C++ with Python & JAVA wrappers
User: berndporr
Home Page: http://www.youtube.com/channel/UCf-VdHm0OyV_TKD5BU9yIXw
learning-rate,Play deep learning with CIFAR datasets
User: bigballon
Home Page: https://bigballon.github.io/cifar-10-cnn/
learning-rate,Residual Network Experiments with CIFAR Datasets.
User: bigballon
learning-rate,Build an RL (Reinforcement Learning) agent that learns to play Numerical Tic-Tac-Toe. The agent learns the game by Q-Learning.
User: chaitanyac22
learning-rate,It's all about NLP. From End- To- End.We will create Deep NLP beyond RNNs/LSTMs ( obsolete now) from scratch and learn why everything until GPT3.
User: code-trees
learning-rate,A Jupyter notebook exploring sophisticated learning rate strategies for training deep neural networks
User: connorcl
learning-rate,Pytorch implementation of the paper: 'Cyclical Learning Rates for Training Neural Networks'
User: coxy1989
learning-rate,TensorFlow/Keras implementation of the paper: 'Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates'
User: coxy1989
learning-rate,Learning rate multiplier
User: cyberzhg
Home Page: https://pypi.org/project/keras-lr-multiplier/
learning-rate,A learning rate range test implementation in PyTorch
User: davidtvs
learning-rate,One cycle policy learning rate scheduler in PyTorch
User: dkumazaw
learning-rate,Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
Organization: ebay
learning-rate,callbacks in ai
User: epsoft
Home Page: https://www.epsoft.ir
learning-rate,A small implementation of ANN
User: farhaanbukhsh
learning-rate,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 cycled between a lower bound and upper bound. CLR policies are computationally simpler and can avoid the computational expense of fine tuning with fixed learning rate. It is clearly shown that changing the learning rate during the training phase provides by far better results than fixed values with similar or even smaller number of epochs.
User: fitushar
learning-rate,An easy neural network for Java!
User: goessl
learning-rate,Improved Hypergradient optimizers, providing better generalization and faster convergence.
User: harshalmittal4
learning-rate,Visualize Tensorflow's optimizers.
User: j-w-yun
learning-rate,Stochastic Weight Averaging - TensorFlow implementation
User: jguillaumin
learning-rate,The Deep Learning exercises provided in DataCamp
User: joyebright
Home Page: https://www.datacamp.com/courses/deep-learning-in-python
learning-rate,A method for assigning separate learning rate schedulers to different parameters group in a model.
User: kardasbart
learning-rate,Two case studies: effects of changing the learning rate on model perfomance for image classificaiton, and cardiac failure prediction using clinical data
User: kenanmorani
learning-rate,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.
User: khaledashrafh
learning-rate,Add-on functionality for the R implementation of Keras
User: lorenzwalthert
learning-rate,Benchmarking various Computer Vision models on TinyImageNet Dataset
User: meet-minimalist
learning-rate,Cyclic learning rate TensorFlow implementation.
User: mhmoodlan
learning-rate,A packages containing all popular Learning Rate Schedulers. Implemented in Keras Tensorflow
User: mr-talhailyas
learning-rate,All about machine learning
User: nvsyashwanth
Home Page: https://nvsyashwanth.github.io/machinelearningmaster/
learning-rate,Implementation of learning rate finder in TensorFlow
Organization: octavian-ai
Home Page: https://octavian.ai
learning-rate,How optimizer and learning rate choice affects training performance
Organization: octavian-ai
Home Page: https://octavian.ai
learning-rate,Q-Learing algorithm solves simple mazes.
User: pcluteijn
learning-rate,Linear Regression, Classification, Naive Bayes Spam Classification
User: pixelsenseiavi
learning-rate,The main aim of this project is to built a predictive model using G Store data to predict the TOTAL REVENUE per customer that helps in better use of marketing budget.
User: rajk01
learning-rate,Improving MMD-GAN training with repulsive loss function
User: richardwth
learning-rate,MABSearch: The Bandit Way of Learning the Learning Rate - A Harmony Between Reinforcement Learning and Gradient Descent
User: shahul-rahman
Home Page: https://link.springer.com/article/10.1007/s40009-023-01292-1
learning-rate,Reproduction of the "Don't Decay the Learning Rate, Increase the Batch Size" conference paper.
User: shishishi123
learning-rate,
User: sivaramakrishnan-rajaraman
learning-rate,PyTorch implementation of some learning rate schedulers for deep learning researcher.
User: sooftware
learning-rate,Detect happy dogs in real-time
User: sungsujaing
learning-rate,Pytorch implementation of arbitrary learning rate and momentum schedules, including the One Cycle Policy
User: timesler
learning-rate,Tensorflow-Keras callback implementing arXiv 1712.07628
User: tr7200
Home Page: https://arxiv.org/abs/1712.07628
learning-rate,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.
User: usnikb
learning-rate,Videos of deep learning optimizers moving on 3D problem-landscapes
User: wassname
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.