Topic: sgd-optimizer Goto Github
Some thing interesting about sgd-optimizer
Some thing interesting about sgd-optimizer
sgd-optimizer,MNIST Handwritten Digits Classification using 3 Layer Neural Net 98.7% Accuracy
User: aditya9211
sgd-optimizer,My solutions for Stanford's CS231n: Convolutional Neural Networks for Visual Recognition.
User: ahan98
Home Page: http://cs231n.stanford.edu/
sgd-optimizer,LeNet5 on MNIST with SGD and Adam
User: ahirsharan
sgd-optimizer,Object recognition AI using deep learning
User: ai-expert-04
sgd-optimizer,Prevention of accidents in school zones using deep learning
User: ai-expert-04
sgd-optimizer,Part of CMSC498L coursework. In this project, we implement binary classification of Images and Movie Reviews by implementing standard strategies of a two-layer fully-connected nerual network. SGD is used as an optimizer. The project contains the python notebook, which will give an in-depth walk-through through the steps adopted to train the model.
User: akhopkar01
sgd-optimizer,Applying Transfer Learning on Stanford Dogs Dataset
User: ambidextrous9
sgd-optimizer,In compressed decentralized optimization settings, there are benefits to having multiple gossip steps between subsequent gradient iterations, even when the cost of doing so is appropriately accounted for e.g. by means of reducing the precision of compressed information.
User: anishacharya
sgd-optimizer,Code for IoT Journal paper 'ML-MCU: A Framework to Train ML Classifiers on MCU-based IoT Edge Devices'
User: bharathsudharsan
sgd-optimizer,Computer Vision and Image Processing algorithms implemented using OpenCV, NumPy and MatPlotLib, for UOM's EN2550 Fundamentals of Image Processing and Machine Vision Module ❄
User: bimalka98
Home Page: https://youtube.com/playlist?list=PLOFDV2Drh1zBn_PX-zPv6dtl8Uw0uVVaD
sgd-optimizer,Le Machine Learning, aussi appelé apprentissage automatique en français, est une forme d’intelligence artificielle permettant aux ordinateurs d’apprendre sans avoir été programmés explicitement à cet effet.
User: camara94
sgd-optimizer,The two-spiral Problem solved using the Stochastic Gradient Descent optimiser.
User: curovearth
sgd-optimizer,Nadir is a library of bleeding-edge optimisers built for speed and functionality in PyTorch for researchers 💙
Organization: dawn-of-eve
sgd-optimizer,🧠Implementation of a Neural Network from scratch in Python for the Machine Learning Course.
User: dilettagoglia
Home Page: https://medium.com/analytics-vidhya/backpropagation-for-dummies-e069410fa585
sgd-optimizer,An image classification app using the CIFAR10 dataset and CNNs. Containerised in Docker.
User: george-nyamao
sgd-optimizer,Simple MATLAB toolbox for deep learning network: Version 1.0.3
User: hiroyuki-kasai
sgd-optimizer,Rossman store sales prediction Project Description Business Problem Rossmann manages approximately 3,000 pharmacies in seven European nations
User: hossain-sanowar
sgd-optimizer,A deep learning classification program to detect the CT-scan results using python
User: irfanrob
sgd-optimizer,Lookahead optimizer ("Lookahead Optimizer: k steps forward, 1 step back") for tensorflow
User: janus-shiau
sgd-optimizer,Capstone Project for Udacity Machine Learning Nanodegree
User: jeongwhanchoi
sgd-optimizer,The Deep Learning exercises provided in DataCamp
User: joyebright
Home Page: https://www.datacamp.com/courses/deep-learning-in-python
sgd-optimizer,Communication-efficient decentralized SGD (Pytorch)
User: jywa
sgd-optimizer,Implementation of (overlap) local SGD in Pytorch
User: jywa
sgd-optimizer,Built a custom adam scheduler using gradient clipping, LR scheduling, momentum updates, with two different loss functions
User: krish1925
sgd-optimizer,My extensive work on Multiclass Image classification based on Intel image classification dataset from Kaggle and Implemented using Pytorch 🔦
User: kshitijzutshi
sgd-optimizer,基于粒子群PSO+随机梯度下降SGD优化器的Pytorch训练框架
Organization: lanping-tech
sgd-optimizer,Artificial neural network package written in python
User: maciejczarnacki
sgd-optimizer,Activity recognition aims to recognize the actions and goals of one or more agents from a series of observations on the agents' actions and the environmental conditions.
User: manaliagarwal
sgd-optimizer,Created the model of SGD for Linear Regression on Boston House Price dataset
User: niketan108
sgd-optimizer,Deep Learning Optimizers
User: nisheethjaiswal
sgd-optimizer,Experimenting with MNIST using the MXNet machine learning framework
User: nxbyte
sgd-optimizer,Notebooks with various models for images recognition based on dices example
User: oziomek1
sgd-optimizer,A Repository to Visualize the training of Linear Model by optimizers such as SGD, Adam, RMSProp, AdamW, ASMGrad etc
User: plusminuschirag
sgd-optimizer,Retrieval based biomedical chatbot to answer questions related to diseases
User: pragyanur
sgd-optimizer,Lung Cancer Detection using RESNET-50 SGD Optimizer and integrated on web using React and Django.
User: prasad-mutnale
sgd-optimizer,A compressed adaptive optimizer for training large-scale deep learning models using PyTorch
User: rdspring1
sgd-optimizer,Deep Learning Course | Home Works | Spring 2021 | Dr. MohammadReza Mohammadi
User: saminheydarian
sgd-optimizer,A simple study on the use of Keras framework (with Tensorflow background) for a simple handwritten number image classification task with Deep Neural Networks.
User: somjit101
sgd-optimizer,Implemented fully-connected DNN of arbitrary depth with Batch Norm and Dropout, three-layer ConvNet with Spatial Batch Norm in NumPy. The update rules used for training are SGD, SGD+Momentum, RMSProp and Adam. Implemented three block ResNet in PyTorch, with 10 epochs of training achieves 73.60% accuracy on test set.
User: srinadhu
Home Page: http://cs231n.github.io/assignments2017/assignment2/
sgd-optimizer,📈Implementing the ADAM optimizer from the ground up with PyTorch and comparing its performance on six 3-D objective functions (each progressively more difficult to optimize) against SGD, AdaGrad, and RMSProp.
User: thetechdude124
sgd-optimizer,MetaPerceptron: Unleashing the Power of Metaheuristic-optimized Multi-Layer Perceptron - A Python Library
User: thieu1995
Home Page: https://metaperceptron.readthedocs.org
sgd-optimizer,In this repository, I have used CNN to MNIST Digit Classification Dataset. You can get insights about Convolutional Neural Network and its implementation for Handwritten Digit Classification.
User: thinamxx
sgd-optimizer,Tensorflow-Keras callback implementing arXiv 1712.07628
User: tr7200
Home Page: https://arxiv.org/abs/1712.07628
sgd-optimizer,Design and train a network that combines supervised and unsupervised architecture in one model to achieve a classification task
User: tusharsingh62
sgd-optimizer,PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
User: v-iashin
Home Page: http://cs231n.stanford.edu
sgd-optimizer,Implement a Neural Network trained with back propagation in Python
User: vercaca
sgd-optimizer,Demo dataset credits to NCTU 2020 autumn Machine Learning.
User: yinping-cho
sgd-optimizer,ND-Adam is a tailored version of Adam for training DNNs.
User: zj10
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