Outer Web | Explore

Explore >> Select a destination

You are here		www.paepper.com Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour :: Read. Hack. Learn. Repeat. - This blog features state of the art applications in machine learning with a lot of PyTorch samples and deep learning code. You will learn about neural network optimization and potential insights for artificial intelligence for example in the medical domain.
\|	\|	pyimagesearch.com Keras and Convolutional Neural Networks (CNNs) - PyImageSearch	19.0 parsecs away Travel
\|	\|	This gentle guide will show you how to implement, train, and evaluate your first Convolutional Neural Network (CNN) with Keras and deep learning.	19.0 parsecs away Travel
\|	\|	pyimagesearch.com Gradient Descent Algorithms and Variations - PyImageSearch	10.2 parsecs away Travel
\|	\|	In this tutorial, you will learn what gradient descent is, how gradient descent enables us to train neural networks, variations of gradient descent, including Stochastic Gradient Descent (SGD), and how SGD can be improved using momentum and Nesterov acceleration.	10.2 parsecs away Travel
\|	\|	bdtechtalks.com A simple guide to gradient descent in machine learning - TechTalks	9.4 parsecs away Travel
\|	\|	Gradient descent is the main technique for training machine learning and deep learning models. Read all about it.	9.4 parsecs away Travel
\|	\|	www.ntentional.com ICLR 2020: Efficient Deep Learning and More \| ntentional	78.1 parsecs away Travel
\|		Highlights from my favorite Deep Learning efficiency-related papers at ICLR 2020	78.1 parsecs away Travel