
Learn to implement and customize TensorFlow's Object Detection API for real-time video analysis and tracking of custom objects through hands-on tutorials.

Learn to set up and use TensorFlow Object Detection API with TensorFlow 2.0 on Windows, including custom object detection and real-time image segmentation from video streams.

Explore TensorFlow.js fundamentals, including tensors, operations, and the Layers API. Learn to implement linear and polynomial regression, and solve the XOR problem using neural networks.

Learn to build and deploy custom object detection models using TensorFlow, from data labeling to creating a real-time web app with React.js and TensorFlow.js.

Learn to build a color classifier using TensorFlow.js, covering data collection, cleaning, model creation, training, and prediction in a hands-on, step-by-step approach.

Learn to train machine learning models in the cloud using TensorFlow and Spell, then implement them in browsers with ml5.js. Covers style transfer and text generation with hands-on projects.

Leverage real-time computer vision with Tensorflow.JS and React, exploring facial landmarks, body poses, hand keypoints, and object detection using pre-trained models and webcam input.

Learn to implement deep learning models in JavaScript using TensorFlow.js, covering logistic and linear regression, neural networks, and data preprocessing techniques for browser-based applications.

Learn to create powerful recommendation systems using TensorFlow, covering content-based and collaborative filtering, ranking models, multitask learning, and efficient serving with ScaNN.

Learn TensorFlow basics, deep learning concepts, and practical applications through comprehensive tutorials and hands-on projects. Explore neural networks, computer vision, and natural language processing.

Comprehensive Python programming tutorial covering basics to advanced topics, including OOP, multithreading, and database programming, taught by Durga Sir over multiple sessions.

Engaging Python series for kids 11-14, covering basics to game creation. Hands-on approach with turtle graphics, variables, loops, functions, and simple game development.

Comprehensive crash course covering all topics for UGC NET Paper 1 exam, including teaching aptitude, research methodology, and logical reasoning. Ideal for quick and effective preparation.

You will learn about the computer, expected full forms, computer memory, programming languages, computer networks, strategies, most expected MCQs, and much more.

We will cover the entire syllabus, strategy, updates, and notifications which will help you to crack the NTA UGC NET exams. Our educators will be sharing a lot of tips and tricks to crack the exam.

Master fundamental concepts and problem-solving techniques in dynamics, covering motion analysis, kinematics, and energy principles through practical examples and in-depth lessons.

Learn American Mah Jongg fundamentals through comprehensive video lessons covering tiles, modeling, card reading, Charleston, gameplay phases, and more. Perfect for beginners and teachers alike.

Learn to extract and parse web data using Beautiful Soup and Python, covering tag navigation, table and XML handling, and practical scraping techniques for various websites.

Learn to extract web data efficiently using Scrapy, covering setup, spider creation, HTML parsing, CSS selectors, and practical challenges for real-world applications.

Learn powerful web scraping with Scrapy: master selectors, spiders, and data extraction techniques. Ideal for beginners seeking to automate data collection from websites efficiently.

NLP is a field concerned with the ability of a computer to understand, analyze, manipulate and potentially generate human language.In this course we study about NLP and use the NLP toolkit or NLTK in Python.