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Experiment Logging with TensorBoard and wandb

Alexander Lyashuk
October 11, 2020 Leave a Comment
Deep Learning Machine Learning Object Detection PyTorch Tools Tutorial

October 11, 2020 By Leave a Comment

front image

When approaching a problem using Machine Learning or Deep Learning, researchers often face a necessity of model tuning because the chosen method usually depends on various hyperparameters and used ...

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Tags: deep learning experiment logging experiment management Machine Learning Object Detection tensorboard tools tutorial weights and biases
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Filed Under: Deep Learning, Machine Learning, Object Detection, PyTorch, Tools, Tutorial

Image Matting with state-of-the-art Method “F, B, Alpha Matting”

Pavel Semkin
September 28, 2020 Leave a Comment
Deep Learning Machine Learning PyTorch Segmentation Tutorial

September 28, 2020 By Leave a Comment

The foreground is the part of a view or picture, that is nearest to you when you look at it (Oxford dictionary). We, humans, are usually good at distinguishing foreground objects on images from the ...

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Tags: deep learning Image Matting Machine Learning PyTorch tutorial
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Filed Under: Deep Learning, Machine Learning, PyTorch, Segmentation, Tutorial

Training a Custom Object Detector with DLIB & Making Gesture Controlled Applications

Taha Anwar ( BleedAI.com )
September 7, 2020 Leave a Comment
Application Image Processing Object Detection Tutorial

September 7, 2020 By Leave a Comment

Detection with Dlib

In this article, you will learn how to build python-based gesture-controlled applications using AI. We will guide you all the way with step-by-step instructions. I'm sure you will have loads of fun ...

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Tags: dlib HOG Image Processing Machine Learning Object Detection OpenCV SVM
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Filed Under: Application, Image Processing, Object Detection, Tutorial

TensorBoard with PyTorch Lightning

Neelabh Madan (IIT Delhi)
August 10, 2020 Leave a Comment
Deep Learning how-to Image Classification Machine Learning PyTorch Tutorial

August 10, 2020 By Leave a Comment

A picture is worth a thousand words! As computer vision and machine learning experts, we could not agree more. Human intuition is the most powerful way of making sense out of random chaos, ...

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Tags: Comet Logger Computer Vision deep learning graphs Lightning logging Machine Learning MNIST Neptune Logger PyTorch tensorboard Tensorboard Logger tutorial visualisation
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Filed Under: Deep Learning, how-to, Image Classification, Machine Learning, PyTorch, Tutorial

Getting Started with PyTorch Lightning

Neelabh Madan (IIT Delhi)
May 10, 2020 Leave a Comment
Deep Learning how-to Image Classification Machine Learning PyTorch Tutorial

May 10, 2020 By Leave a Comment

featured-lightning

Imagine, one day you have an amazing idea for your machine learning project. You write down all the details on a piece of paper- the model architecture, the optimizer, the dataset. And now you just ...

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Tags: Computer Vision deep learning Lightning Machine Learning MNIST PyTorch tutorial
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Filed Under: Deep Learning, how-to, Image Classification, Machine Learning, PyTorch, Tutorial

PyTorch for Beginners: Semantic Segmentation using torchvision

Arunava Chakraborty
June 5, 2019 Leave a Comment
Deep Learning Image Processing Machine Learning PyTorch Segmentation Tutorial

June 5, 2019 By Leave a Comment

Feature Image

This post is part of the series in which we are going to cover the following topics. 1. What is Semantic Segmentation? Semantic Segmentation is an image analysis procedure in which we classify each ...

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Tags: artificial intelligence Computer Vision deep learning DeepLab v3 Fully Convolutional Network (FCN) Machine Learning Python PyTorch semantic segmentation
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Filed Under: Deep Learning, Image Processing, Machine Learning, PyTorch, Segmentation, Tutorial

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About

I am an entrepreneur with a love for Computer Vision and Machine Learning with a dozen years of experience (and a Ph.D.) in the field.

In 2007, right after finishing my Ph.D., I co-founded TAAZ Inc. with my advisor Dr. David Kriegman and Kevin Barnes. The scalability, and robustness of our computer vision and machine learning algorithms have been put to rigorous test by more than 100M users who have tried our products. Read More…

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