Image Classification Courses and Certifications

Learn to build convolutional neural networks, preprocess image data, and use filter and pooling layers for effective image classification with TensorFlow.

• Codecademy
• 2 hours
• On-Demand
• Free Trial Available

Master CNNs, vision transformers, and DETR for image classification and object detection using PyTorch with hands-on projects and data augmentation techniques.

• Codecademy
• 5 hours
• On-Demand
• Free Trial Available

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
• On-Demand
• Free Video

Observational Supervision for Medical Image Classification

Exploring gaze data as a novel supervision source for training deep learning models in medical image classification, focusing on chest X-rays and brain MRI scans for improved efficiency and accuracy.

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

Complete Guide to TensorFlow for Deep Learning with Python

17094 ratings at Udemy

Learn how to use Google's Deep Learning Framework - TensorFlow with Python! Solve problems with cutting edge techniques!

• Udemy
• 14 hours 10 minutes
• On-Demand
• Paid Course

Bag of Words Model for Image Classification - Lecture 16

Explore bag-of-features for image classification, including feature extraction, quantization, and spatial pyramid matching. Learn about datasets and applications in scene and action recognition.

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

Bag-of-Features for Image Classification - Lecture 17

Learn about Bag-of-Features in computer vision, covering image classification, feature distribution, clustering, and support vector machines for visual recognition tasks.

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

Keith Galli

Real-World Python Neural Nets Tutorial - Image Classification with CNN - Tensorflow & Keras

Learn to build and train a CNN for image classification using TensorFlow and Keras. Covers data preparation, model improvement, hyperparameter tuning, and practical applications in Python.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

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
• On-Demand
• Free Video

Nvidia

Jetson AI Fundamentals - Training Image Classification Models

Learn to train image classification models using PyTorch on Jetson Nano, including transfer learning, custom dataset creation, and real-time testing with live camera feeds.

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

Nvidia

Jetson AI Fundamentals - Image Classification Inference

Learn to implement image classification using Jetson Nano and deep learning. Code a Python program for real-time classification on live camera streams and experiment with the ImageNet model.

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

Coding Train

Image Classification with ml5.js - MobileNet and Custom Models

Explore image classification using ml5.js, from basic MobileNet implementation to creating custom classifiers with transfer learning and Teachable Machine.

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

Distributed Computing & AI with Spark

Gain insights into building, training, and customizing models with TensorFlow and Keras, from simple networks to advanced pre-trained models with transfer learning, culminating in an image classification project.

• Pragmatic Institute
• 4 hours
• On-Demand
• Paid Course

Intermediate Deep Learning with PyTorch

21 ratings at DataCamp

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

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available