Gradient

by KeAi Communications Co. Effect of GDM hydrophobicity gradient on water transport in PEMFC. Credit: Qinwen Yang, et al Fuel Cell Vehicles (FCVs) are typically powered by polymer electrolyte membrane fuel cells (PEMFCs), which convert the chemical energy of hydrogen and oxygen into electricity and produce…

Prying behind the interface to see the effects of SGD parameters on your model trainingBehind the simple interfaces of modern machine learning frameworks lie large amounts of complexity. With so many dials and knobs exposed to us, we could easily fall into cargo cult programming if we don’t understand what’s going on underneath. Consider the many parameters of Torch’s stochastic gradient descent (SGD) optimizer:def torch.optim.SGD( params, lr=0.001, momentum=0, dampening=0, weight_decay=0, nesterov=False, *,…

Build your own book recommender with CatBoost RankerContinue reading on Towards Data Science » Build your own book recommender with CatBoost RankerContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all materials to their authors. If you are the owner of the…

Deep Dive on Stochastic Gradient Descent. Algorithm, assumptions, benefits, formula, and practical implementationImage by DALL-E-2IntroductionThe image above is not just an appealing visual that drew you to this article (despite its length), but it also represents a potential journey of the SGD algorithm in search of a global minimum. In this journey, it navigates rocky paths where the height symbolizes the loss. If this doesn’t sound clear now, don’t worry, it will be by the end of this article.Index:· 1: Understanding…

A fledgling Dutch startup wants to help companies extra data from large volumes of complex documents where accuracy and security is paramount — and it has just secured the backing of Google’s Gradient Ventures to do so. Send AI, as the startup is called, is taking on established incumbents in the document processing space such as UiPath, Abbyy, Rossum, and Kofax, with a customizable platform that allows companies to fine-tune AI models for their own individual data-extraction needs. For instance, a company operating…

Are You Truly Mastering Gradient Descent? Use This Post as Your Ultimate CheckpointContinue reading on Towards Data Science » Are You Truly Mastering Gradient Descent? Use This Post as Your Ultimate CheckpointContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners,…

Exploring the shared language of gradient descent and Newton's motion equationsPhoto by Luddmyla . on UnsplashI remember the first course on Machine Learning I took during undergrad as a physics student in the school of engineering. In other words, I was an outsider. While the professor explained the backpropagation algorithm via gradient descent, I had this somewhat vague question in my head: "Is gradient descent a random algorithm?" Before raising my hand to ask the professor, the non-familiar environment…

How to ensure your neural network doesn’t “die” or “blow-up”Continue reading on Towards Data Science » How to ensure your neural network doesn’t “die” or “blow-up”Continue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to…

The main optimization algorithms used for training neural networks, explained and implemented from scratch in PythonPhoto by Jack Anstey / UnsplashIn my previous article about gradient descent, I explained the basic concepts behind it and summarized the main challenges of this kind of optimization.However, I only covered Stochastic Gradient Descent (SGD) and the “batch” and “mini-batch” implementation of gradient descent.Other algorithms offer advantages in terms of convergence speed, robustness to “landscape” features…

Next, click Layer > New Layer. In the resulting popup, give the new layer a name and click OK. Go back to Image 1, make sure the new layer is selected, and paste the copied image into the layer. Once the paste is done, make sure to anchor the layer by clicking the Anchor button near the bottom-right corner of GIMP. Make sure to have selected the top layer before you add the layer mask. Screenshot by Jack Wallen/ZDNET In the toolbox, select the gradient tool, and make sure the colors selected are…