
Comprehensive overview of AWS image processing, machine learning, and AI services, featuring hands-on demos of SageMaker, Rekognition, Comprehend, Polly, and Textract for practical applications.

This Computer Vision Tutorial will introduce you Computer Vision and take you deep into concepts and practical implementation of the subject.

Comprehensive introduction to OpenCV in Python, covering installation, computer vision processes, face detection, and recognition. Includes hands-on exercises and applications in deep learning.

Learn digital image processing with Python, covering fundamentals, computer vision, CNNs, and practical applications. Gain hands-on experience using popular libraries and explore advanced techniques in this comprehensive tutorial.

Comprehensive tutorial on deep learning with Python, covering essential libraries, machine learning concepts, neural networks, and computer vision with practical demonstrations and examples.

Learn Flask web framework essentials, from setup to advanced features like dynamic URLs, HTML integration, Jinja2 templating, and implementing face recognition projects.

Explore deep learning with Keras, covering neural networks, face recognition, OpenPose, stock prediction, and more. Hands-on tutorials for practical AI applications.

Learn OpenCV by reading, writing, and displaying images, Car, facial and eye detection using HAAR Cascade Classifier, and Pedestrian detection from videos

Hands-on projects covering deep learning, machine learning, and data analysis. Practical applications in healthcare, finance, and more using Python, TensorFlow, and other tools.

Comprehensive introduction to MATLAB, covering basic syntax, data analysis, signal processing, image manipulation, and probability concepts with practical exercises and real-world applications.

Learn 3D game development in Godot 3.1, covering model importing, character movement, areas, edge detection, CSG, and first-person character creation.

Learn to create cross-platform GUI applications using PyQt5, covering setup, buttons, events, Qt Designer, menus, images, popups, and more in this comprehensive tutorial.

Explore advanced deep learning techniques including object detection, NLP, neural translation, GANs, and image enhancement. Gain practical skills for cutting-edge AI applications.

Comprehensive deep learning course covering image classification, NLP, tabular data, and advanced topics. Includes hands-on coding and ethical considerations.

Comprehensive exploration of Fourier Transform, covering definition, properties, applications, and relationships to other transforms. Includes 2D extension for image processing and practical examples.

Explore 2D convolution, softmax, and batch normalization. Build a CNN for MNIST digits using Cottonwood, covering model architecture, training, and evaluation techniques.

Explore 2D Fourier Transform, its applications in image processing, and techniques for image downsampling and upsampling with practical examples.

Explore practical applications of Fourier Transform, including 2D image processing. Learn through examples, from basic cosine functions to complex system analyses and digital signal processing.

Learn to automate data extraction from ID documents using Azure Form Recognizer, exploring prebuilt models, REST APIs, SDKs, and AI Builder for efficient key-value pair extraction from passports and driver's licenses.

Explore Azure Percept DK for IoT edge AI: hardware overview, model building, and deployment demos. Hands-on tutorials for object detection and bird classification using Azure Percept Studio.

Learn to build an image classifier using Azure Custom Vision to identify objects in images, with hands-on training and testing of an AI model for practical applications.