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

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

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

Lecture 14: Classify Images.

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

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

Week 4: M2L8: Speckle- How To Handle.

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

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

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

Week 5: M2L10: Sar Image Texture.

00:00 Introduction and survey 01:36 "Lesson 0" How to fast.ai 02:25 How to do a fastai lesson 04:28 How to not self-study 05:28 ...

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

Note: please view this using the video player at http://course.fast.ai, instead of viewing on YouTube directly, to ensure you have ...

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

Q&A and all resources for this lesson available here: https://forums.fast.ai/t/lesson-2-official-topic/96033 00:00 - Introduction 00:55 ...

All lesson resources are available at http://course.fast.ai.) We start with a dive into convolutional autoencoders and explore the ...

All lesson resources are available at http://course.fast.ai.) In this lesson, we discuss various techniques and experiments shared ...