Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear...

1.1: Preface

Deep learning emerged from that decade’s explosive computational growth as a serious contender in the field, winning many important machine learning competitions. The interest has not cooled as of 2017; today, we see deep learning mentioned in every corner…

Electronic funhouse mirror for Halloween that puts animals and monsters on people's faces - leopd/MonsterMirror

I’m a viral immunologist at amfAR, The Foundation for AIDS Research. Our job is to cure HIV…. Which means we give money to scientists we think can...

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Keras and TensorFlow 2.0 provide you with three methods to implement your own neural network architectures:, Sequential API, Functional API, and Model subclassing. Inside of this tutorial you’ll learn how to utilize each of these methods, including how to…

A guest post by Thomas Wolf and Lysandre Debut from Hugging Face. All examples used in this tutorial are available on Colab. The links are…

Google at ICCV: https://ai.googleblog.com/2019/10/google-at-iccv-2019.html
ICCV: http://iccv2019.thecvf.com/

This video gives a quick overview of the 41 papers listed on Google AI's blog post covering research presented at ICCV 2019! Thanks for watching…

This State-of-the-Art book assesses the current state of research on explainable AI (XAI) and provides a timely snapshot of algorithms, theory, and able AI reflecting the current discourse in this field and providing directions of future development.

We propose a framework for evaluating the quality of solar irradiance probabilistic forecasts. The verification framework is based on visual diagnosti…

This story will show you how to extend the modular image processing pipeline using OpenCV and Python generators with a video stream.

As global AI development and deployment continues, the demand for AI talents is growing faster than ever. A number of industry leaders and…

"Clueless on Confusion Matrix?" by Sai Satish Babu N..

An amazingly written blog clarifying most of our confusions around Confusion Matrix.

https://lnkd.in...

Build and deploy AI models at the edge! Leverage the potential of edge computing using the Intel® Distribution of OpenVINO™ toolkit to fast-track development of high-performance computer vision and deep learning inference applications.

We are going to write a python script to train a custom supervised machine learning model using Tensorflow and Keras that will be able to…