Image Recognition Courses and Certifications

Image Recognition for Beginners using CNN in R Studio

314 ratings at Udemy

Deep Learning based Convolutional Neural Networks (CNN) for Image recognition using Keras and Tensorflow in R Studio

• Udemy
• 6 hours 36 minutes
• On-Demand
• Paid Course

Image Recognition with Neural Networks From Scratch(FREE)

202 ratings at Udemy

Learn to build an image recognition program from scratch in Python, covering neural networks, gradient descent, and backpropagation without using external libraries.

• Udemy
• 1 hour 38 minutes
• On-Demand
• Paid Course

Deep Learning: Image Recognition

532 ratings at LinkedIn Learning

Learn how to design, build, and deploy a deep neural network to serve as an image recognition system.

• LinkedIn Learning
• 1 hour 44 minutes
• On-Demand
• Free Trial Available

Implementing Image Recognition Systems with TensorFlow

23 ratings at Pluralsight

TensorFlow is popular a library for implementing a range of deep learning solutions but is especially useful for solutions that deal with images. This course will teach you the basics of how to use TensorFlow to implement the most typical scenarios.

• Pluralsight
• 1 hour 57 minutes
• On-Demand
• Free Trial Available

Implement Image Recognition with a Convolutional Neural Network

Image recognition is used in a wide variety of ways in our daily lives. This course will teach you how to tune and implement convolutional neural networks in order to implement image recognition and classification on a business case.

• Pluralsight
• 1 hour 31 minutes
• On-Demand
• Free Trial Available

Yannic Kilcher

NFNets - High-Performance Large-Scale Image Recognition Without Normalization

Explore Normalizer-Free Networks, a novel approach to image recognition that achieves state-of-the-art accuracy without batch normalization, offering faster training and improved transfer learning performance.

• YouTube
• 34 minutes
• On-Demand
• Free Video

Yannic Kilcher

An Image is Worth 16x16 Words - Transformers for Image Recognition at Scale

Explore how Transformers outperform CNNs in image recognition, delving into Vision Transformer architecture, experimental results, and implications for AI research.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Yannic Kilcher

Deep Residual Learning for Image Recognition - Paper Explained

Explore deep residual learning for image recognition, covering the problem of depth, residual connections, and their impact on neural network performance in computer vision tasks.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Input, Processing and Output of Massive Metadata from Image Recognition

Explore reactive computing, streaming ML, and deep learning for image recognition. Learn about serverless architecture and real-time data processing with a live demo of software engineering integration.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Demystifying Image Recognition: Dive into Deep Learning

In today's data driven world, a lot of the data isn't text anymore. This course will teach you how to recognize and classify images using neural networks.

• Pluralsight
• 27 minutes
• On-Demand
• Free Trial Available

Deploying TinyML

15 ratings at edX

Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.

• edX
• 5 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Microcredential

Applied Tiny Machine Learning (TinyML) for Scale

Enhance your TinyML skills, from applications to deployment and scaling. Learn to build, program, and operationalize machine learning models for tiny devices and embedded systems.

• edX
• 18 weeks, 2-4 hours a week
• On-Demand
• $897.00
• 3 courses

Neural Networks in R and the MNIST Data - Lecture 10.R.1

Explore neural networks using R and MNIST data, learning practical implementation of deep learning techniques for image recognition and statistical analysis.

• YouTube
• 30 minutes
• On-Demand
• Free Video

6.S191: Introduction to Deep Learning

4 reviews

A 1-week extensive survey of deep learning methods and applications.

• Independent
• 1 week
• On-Demand
• Free Online Course

Getting started with Augmented Reality

142 ratings at Coursera

Hands-on introduction to creating augmented reality mobile apps. Learn to prototype AR applications for print media, city maps, and location-based games using authoring tools - no coding experience required.

• Coursera
• 1 day 46 minutes
• On-Demand
• Free Online Course (Audit)