Both Python and MicroPython are powerhouse programming languages. Each of them is capable of supporting your programming needs to almost the limits of your imagination. Both languages are transportable, open-source, growing in popularity, comparatively easy…

In this tutorial, you will learn how to automatically detect COVID-19 in a hand-created X-ray image dataset using Keras, TensorFlow, and Deep Learning. Like most people in the world right now, I’m genuinely concerned about COVID-19. I find myself constantly…

Learn how to use OpenCV and Deep Learning to detect vehicles in video streams, track them, and apply speed estimation to detect the MPH/KPH of the moving vehicle.

Reinforcement learning is a powerful technique at the intersection of machine learning and control theory, and it is inspired by how biological systems learn to interact with their environment. In this video, we provide a high level overview of reinforcement…

**Seizure Detection** is a binary supervised classification problem with the aim of classifying between seizure and non-seizure states of a patient.


<span class="denoscription-source">Source: [ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification…

🔥 Python Certification Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/data-science-python-certification-course
This Edureka video on Tkinter tutorial covers all the basic aspects of creating and making use of your own simple Graphical User Interface…

🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy
NIT Warangal: https://www.edureka.co/executive-programs/machine-learning-and-ai
This Edureka video on "Artificial Intelligence With Python" will provide you with a comprehensive and detailed…

In this tutorial, you will learn how to compare two images for similarity (and whether or not they belong to the same or different classes) using siamese networks and the Keras/TensorFlow deep learning libraries.

In this tutorial, you will learn how to get started with your NVIDIA Jetson Nano, including installing Keras + TensorFlow, accessing the camera, and performing image classification and object detection.

A python code for acquisition of EMG signal and classification through an Artificial Neural Network - IgorMunizS/emg-control-prothesys

In this tutorial, you will learn how to perform anomaly/novelty detection in image datasets using OpenCV, Computer Vision, and the scikit-learn machine learning library.

In this tutorial you will learn the basics of augmented reality with OpenCV and Python.

ICA applied to EEG part 1: What is ICA? This video describes what Independent Component Analysis is and how it can be applied to EEG data.

🏆 SOTA for Image Generation on FFHQ 512 x 512 (FID metric)