Image Recognition Courses and Certifications

DigitalSreeni

Classification of MNIST Sign Language Alphabets Using Deep Learning

Learn to classify hand sign language alphabets using deep learning, covering data preparation, model creation, and result analysis for 25 classes.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

DroneBot Workshop

Pixy2 Camera - Image Recognition for Arduino & Raspberry Pi

Explore Pixy2, a smart camera for Arduino and Raspberry Pi projects. Learn setup, training, and coding for object detection, line tracking, and barcode reading.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Serrano.Academy

A Friendly Introduction to Convolutional Neural Networks and Image Recognition

Friendly explanation of image recognition using Convolutional Neural Networks, covering basics to advanced concepts. Suitable for beginners, with minimal math required.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Eran Feit

How to Train Xception for Image Classification

Master Xception architecture for ship image classification with data preprocessing, model training, evaluation, and deployment techniques in this hands-on tutorial.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

rupert ai

Image Classification with CIFAR 10 - Computer Vision Basics Ep. 1 Loading Data

Practical guide to image classification using CIFAR10 dataset. Learn to load data, create DataLoaders, transform images, and visualize the dataset in PyTorch for computer vision tasks.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Institut des Hautes Etudes Scientifiques (IHES)

Exploring Shallow Architectures for Image Classification

Explore shallow architectures for image classification, focusing on Scattering Networks and their potential compared to deep CNNs. Examine geometric arguments in deriving competitive representations.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Snorkel AI

Large Language Models Can Help Make Better Image Classifiers

Explore how follow-up differential descriptions enhance zero-shot image classification by tailoring class descriptions, improving performance and addressing ambiguities in datasets.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Eran Feit

Image Classification Using ConvNext - Image Transformers Tutorial

Master image classification with ConvNext in Python using PyTorch and timm. Learn to load pretrained models, transform images, run inference, and visualize predictions in this hands-on tutorial.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

Career Certificate

Generative AI for Java and Spring Developers

11790 ratings at Coursera

Gain insights into building AI-powered applications with Java and Spring, from neural networks to RESTful APIs, while mastering prompt engineering and addressing ethical concerns in AI development.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Brian Advent

iOS Swift Tutorial - Automatic Image Classification with Visual Recognition from IBM Watson

Learn to implement IBM Watson's Visual Recognition in iOS apps for automatic image classification using Swift and the Watson Developer Cloud SDK.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Intermediate Deep Learning with PyTorch

Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Career Certificate

Python Machine Learning Advanced

2 ratings at Noble Desktop

Master advanced machine learning through hands-on projects in NLP sentiment analysis, recommendation systems, time series forecasting, CNN image classification, and real-time object detection.

• Noble Desktop
• 30 hours
• Self-Paced
• $1,895.00

Deep Learning in Python

Continue your machine learning journey into deep learning. Use the PyTorch library to create neural networks to model different data types.

• DataCamp
• 18 hours
• Self-Paced
• Free Trial Available

Deep Learning for Images with PyTorch

Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Multi-Modal Models with Hugging Face

Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available