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28 results

TU Delft Learning for Life
AIfE2x_2025_Module_3_1_Introduction_to_Computer_Vision_Image_and_Convolution-video

This educational video is part of the course: AI in Architectural Design: Introduction available for free via ...

9:44
AIfE2x_2025_Module_3_1_Introduction_to_Computer_Vision_Image_and_Convolution-video

14 views

3 months ago

BioniChaos
Seizure Detection in EEG Data with a Flask-Powered Convolutional Neural Network Model Visualisation

Welcome to this in-depth exploration of our EEG-based seizure detection tool! This video walks through the entire process of ...

14:44
Seizure Detection in EEG Data with a Flask-Powered Convolutional Neural Network Model Visualisation

180 views

1 year ago

Mark Newman
The imaginary number i and the Fourier Transform

i and the Fourier Transform; what do they have to do with each other? The answer is the complex exponential. It's called complex ...

17:27
The imaginary number i and the Fourier Transform

62,141 views

3 years ago

Martin Thoma
Cascade Correlation

A short explanation of the cascade correlation algorithm which constructs neural network architectures See ...

4:06
Cascade Correlation

5,848 views

10 years ago

MicroRishi
Mind-Blowing AI: Build a Cat vs. Dog Classifier in Just 50 Lines! 🚀🐱🐶

Unlock the power of AI with this incredible tutorial! Learn how to create a Cat vs. Dog Classifier using the FastAI library in under 50 ...

16:44
Mind-Blowing AI: Build a Cat vs. Dog Classifier in Just 50 Lines! 🚀🐱🐶

51 views

2 years ago

Chrome for Developers
Image Filters using WebGL - Developer Diary #Day4

Mat Scales talks about image filters in a Progressive Web App including sharpening, contrast & vignettes. Surma & Mat's WebGL ...

13:24
Image Filters using WebGL - Developer Diary #Day4

19,842 views

8 years ago

BioniChaos
AI for Seizure Detection: Spectrogram Analysis with Neural Networks (96.67% Accuracy)

In this video, I dive into RhythmScan, an AI tool for detecting seizures using EEG spectrograms. Watch as I break down the ...

4:56
AI for Seizure Detection: Spectrogram Analysis with Neural Networks (96.67% Accuracy)

64 views

1 year ago

Mark Newman
Where is Frequency in the output of the FFT?

The output of the FFT can be quite confusing. All you are presented with is a list of complex numbers that, at first glance, don't tell ...

6:19
Where is Frequency in the output of the FFT?

23,484 views

3 years ago

geografif
Geospatial deep learning with TensorFlow Keras: Prepare input data for convolutional neural networks

This video demonstrates steps to convert large satellite images and annotated map / labeled data into small patches for deep ...

11:01
Geospatial deep learning with TensorFlow Keras: Prepare input data for convolutional neural networks

648 views

2 years ago

Christos Plachouras
Utilizing Hierarchical Structure for Audio-Based Music Similarity | ISMIR 2021 Late-Breaking Demo

This is a presentation of my Late-Breaking Demo for the International Society for Music Information Retrieval 2021 Conference.

4:57
Utilizing Hierarchical Structure for Audio-Based Music Similarity | ISMIR 2021 Late-Breaking Demo

559 views

4 years ago

J David Eisenberg
Chapter 18: Reading Files

You use a Scanner based on a File object to read from files. You'll need to handle a checked exception when you do that.

5:52
Chapter 18: Reading Files

241 views

4 years ago

NPTEL IIT Bombay
Tutorial 05 Part 02: Speckle Filtering Using Python Using Gaussian Filter

Week 6: Tutorial 05 Part 02: Speckle Filtering Using Python Using Gaussian Filter.

19:17
Tutorial 05 Part 02: Speckle Filtering Using Python Using Gaussian Filter

761 views

3 years ago

Florian Dubost
Introduction au deep learning pour la médecine -- English Subs

Decouvrez des applications du deep learning, machine learning, intelligence artificielle pour l'analyse d'image médicales, ...

10:41
Introduction au deep learning pour la médecine -- English Subs

417 views

5 years ago

RTL Engineering
Pentium MMX Predecoding in a FPGA

A short followup video going over how one could map a Pentium MMX predecoder to a FPGA, as well as some resource utilization ...

8:17
Pentium MMX Predecoding in a FPGA

1,121 views

3 years ago

Chuck Severance
Python for Informatics Exercise 7.1

This is from Python for Informatics - Exploring Information. www.pythonlearn.com.

10:38
Python for Informatics Exercise 7.1

19,699 views

12 years ago

Machine Learning Practice
For Loops with Zip

Zip adds functionality that allows us to pair up elements from two or more lists (combined elements are "tuples"). We can then ...

6:26
For Loops with Zip

222 views

3 years ago

SiliconANGLE theCUBE
Regina Manfredi, Teradata | Amazon re:MARS 2022

Regina Manfredi, VP of Global CSP Alliances at Teradata, talks with John Furrier at Amazon re:MARS 2022 in Las Vegas, NV.

15:55
Regina Manfredi, Teradata | Amazon re:MARS 2022

1,329 views

3 years ago

Lars Juhl Jensen
Writing a paper: Simple advice on the writing process and the individual parts of a research article

Simple advice on how to write a scientific paper / research article. I will explain how I recommend tackling the writing process ...

8:34
Writing a paper: Simple advice on the writing process and the individual parts of a research article

2,523 views

3 years ago

Marco Winzker (Professor)
Machine Learning on FPGAs: Training the Neural Network

Lecture 2 of the project to implement a small neural network on an FPGA. We select training data and train the neural network.

6:59
Machine Learning on FPGAs: Training the Neural Network

17,088 views

5 years ago

Aneeshan Sain
[CVPR 2022] Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches

An overview of our paper 'Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches'. Work accepted in CVPR ...

5:00
[CVPR 2022] Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches

325 views

3 years ago