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All about AI (Artificial Intelligence) by Arish Ali, CEO at Neurofy This video covers Basics of Artificial Intelligence, Artificial ...

Lecture 14: Classify Images.

I used to find writing CUDA code rather terrifying. But then I discovered a couple of tricks that actually make it quite accessible. In ...

Ella Bahry from Helmholtz Imaging / Max Delbrück Center (MDC) gives an overview of image registration techniques, explaining ...

Week 6: Tutorial 05 Part 01: Speckle Filtering Using Python.

In this video, I dive deep into the process of developing an image anomaly detection tool using Python. The focus is on detecting ...

Today we'll learn about the extraordinarily powerful and widely useful technique of generative models. These are models that ...

Week 4: M2L8: Speckle- How To Handle.

Welcome to this live session, where I dive deep into the world of brain MRI data and explore how to build a 3D MRI viewer using ...

Week 7: Tutorial 06 Part 01: Sar Image Pre-processing.

Have you ever wondered about how to create a pixelated image? This video shows you how to do it yourself with the nearest ...

Week 2: Tutorial 02 : Exploring Alos Palsar Data In Python.

Tutorial: https://training.galaxyproject.org/training-material/topics/statistics/tutorials/fruit_360/tutorial.html Speaker: Kaivan Kamali ...

This video shows how to use Igneous (https://github.com/seung-lab/igneous), Python software for processing Neuroglancer large ...

Week 5: M2L10: Sar Image Texture.

Week 11: Tutorial 10: Processing Satellite Precipitation Data Using Python.

A surprising result in deep learning is that models created from totally different types of data, such as text and images, can learn to ...

Train Image Classification with Convolutional Neural Networks to get #StateOfTheArt results with Tensorflow 2 0:00 Greetings ...

Week 5: M2L11: Texture For Image Classification.

https://media.ccc.de/v/35c3-9386-introduction_to_deep_learning This talk will teach you the fundamentals of machine learning ...