Image Recognition Courses and Certifications

Machine Learning Foundations

Master machine learning fundamentals with TensorFlow, covering neural networks, computer vision, CNNs, and natural language processing through hands-on coding examples.

• YouTube
• 2 hours 11 minutes
• Self-Paced
• Free Video

Code With Aarohi

Transformers for Computer Vision

Explore how Transformer models revolutionize computer vision tasks through Vision Transformers, image classification, object detection, and hybrid architectures with hands-on PyTorch implementations.

• YouTube
• 3 hours 55 minutes
• Self-Paced
• Free Video

Code With Aarohi

Convolutional Neural Network Tutorial - Deep Learning and CNN Architectures

Master CNN fundamentals, architectures like AlexNet, VGG-16, ResNet, and Inception networks through practical examples and step-by-step implementations for image classification tasks.

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

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
• Self-Paced
• Free Video

The Machine Learning Engineer

MLOps: C# Image Recognition with ResNet50v2 Model

Realiza inferencia de reconocimiento de imágenes con ResNet50v2 en C# utilizando Microsoft ML y SixLabors.ImageSharp. Aprende MLOps práctico.

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

Tech with Tim

3 Python AI Projects for Beginners - Full Tutorial

1 rating

Dive into three beginner-friendly Python AI projects: building an AI agent, creating a resume critiquer, and developing an image classifier with step-by-step guidance for those with basic Python knowledge.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

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
• Self-Paced
• Free Video

Hough Transform for Line and Shape Detection - Lecture 18

Learn about the Hough Transform technique for detecting lines and shapes in images, including its algorithm, applications, and variations like Generalized Hough Transform.

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

Computer Vision - Fall 2021

Explore computer vision fundamentals from linear algebra to neural networks, covering image filtering, edge detection, CNNs, PyTorch, object detection, and segmentation techniques.

• YouTube
• 1 day 4 hours 49 minutes
• Self-Paced
• Free Video

Computer Vision - Fall 2020

Master computer vision fundamentals from linear algebra to advanced neural networks, covering filtering, edge detection, CNNs, PyTorch, object detection, and segmentation techniques.

• YouTube
• 1 day 4 hours 50 minutes
• Self-Paced
• Free Video

James Briggs

Vision Transformers Explained + Fine-Tuning in Python

Explore Vision Transformers (ViT) for image classification, from theory to implementation. Learn about attention mechanisms, patch embeddings, and fine-tuning using Hugging Face in Python.

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

Nicholas Renotte

Getting Started with Python Deep Learning for Beginners

Learn to set up Python, Jupyter, and TensorFlow for deep learning. Create environments, configure GPU, and train an image classifier. Perfect for beginners starting their deep learning journey.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video