An Introduction to Image Recognition

An Introduction to Image Recognition

You can access the full course here: Convolutional Neural Networks for Image Classification Intro to Image Recognition Let’s get started by learning a bit about the topic itself. Image recognition is, at its heart, image classification so we will use these terms interchangeably throughout this course. We see images or real-world items and we classify … Read moreAn Introduction to Image Recognition

How to Classify Images using Machine Learning

You can access the full course here: Build Sarah – An Image Classification AI Transcript 1 Hello everybody, and thanks for joining me, my name is Mohit Deshpande, and in this course we’ll be building an image classification app. Given a set of images, we’re going to train an AI to learn what these images … Read moreHow to Classify Images using Machine Learning

A Comprehensive Guide to Optical Flow

You can access the full course here: Video and Optical Flow – Create a Smart Speed Camera Part 1 In this lesson, you will learn the basics of videos, and how function notation can be applied to find pixel intensities of videos. Videos are a sequence of images (called frames), which allows image processing to … Read moreA Comprehensive Guide to Optical Flow

A Comprehensive Guide to Face Detection and Recognition

You can access the full courses here: Build Lorenzo – A Face Swapping AI and Build Jamie – A Facial Recognition AI Part 1 In this lesson, we’re going to see an overview of what face detection is. In a nutshell, it answers the question of whether or not there is a face in a given … Read moreA Comprehensive Guide to Face Detection and Recognition

Recognizing Images with Contour Detection using OpenCV

You can access the full course here: Advanced Image Processing – Build a Blackjack Counter Transcript 1 Hello everybody. My name is Mohit Deshpande. And in this video, I want to kinda introduce you guys to the concept of image segmentation. So to motivate this discussion, here is an image of a wallet on a … Read moreRecognizing Images with Contour Detection using OpenCV

An Overview of Structural Similarity

You can access the full course here: Create a Raspberry Pi Smart Security Camera In this lesson we will discuss a different approach to image-similarity called structural similarity(SSIM). A Mean Squared Error is a really good measure of error difference, but the issue with mean squared error is that it looks at each pixel individually … Read moreAn Overview of Structural Similarity

Python Mini-Degree

Machine Learning Fundamentals

Go from Zero to Python Expert – Learn Computer Vision, Machine Learning, Deep Learning, TensorFlow, Game Development and Internet of Things (IoT) App Development. We live in a world that is continuously advancing as a result of technological innovation. To succeed in this ever-changing world, you’ll need to learn and gain expertise in the technologies … Read morePython Mini-Degree

Free Ebook – Machine Learning For Human Beings

Machine Learning Fundamentals

We are excited to announce the launch of our free ebook Machine Learning for Human Beings, authored by researcher in the field of computer vision and machine learning Mohit Deshpande, in collaboration with Pablo Farias Navarro, founder of Zenva. In over 100 pages you will learn the basics of Machine Learning – text classification, clustering and even face recognition … Read moreFree Ebook – Machine Learning For Human Beings

Face Recognition with Eigenfaces

Face recognition is ubiquitous in science fiction: the protagonist looks at a camera, and the camera scans his or her face to recognize the person. More formally, we can formulate face recognition as a classification task, where the inputs are images and the outputs are people’s names. We’re going to discuss a popular technique for face … Read moreFace Recognition with Eigenfaces

Text Classification Tutorial with Naive Bayes

The challenge of text classification is to attach labels to bodies of text, e.g., tax document, medical form, etc. based on the text itself. For example, think of your spam folder in your email. How does your email provider know that a particular message is spam or “ham” (not spam)? We’ll take a look at … Read moreText Classification Tutorial with Naive Bayes