Coursera
Dive into the world of artificial intelligence with this comprehensive Introduction to TensorFlow course. Learn best practices for using TensorFlow, a powerful tool for developing scalable machine learning algorithms. Ideal for software developers eager to integrate AI and deep learning into their projects.
Coursera
Dive into the world of Convolutional Neural Networks and TensorFlow with this comprehensive course. Gain expertise in building scalable AI-powered algorithms, essential for software developers aiming to harness machine learning's potential.
Coursera
Dive into the fundamental world of Mathematical Matrix Methods with our expert-led online course. Whether you're a student, researcher, or professional looking to enhance your skills in data analysis and machine learning, this course offers a structured pathway to understanding key concepts such as matrix operations, solving linear equations, orthogonality principles, least squares approximations, and the critical Singular Value Decomposition technique. Learn how these methods are applied to real-world problems for dimensionality reduction, noise filtering, and more.
Coursera
Embark on a journey into the world of deep learning with our 'Getting Started with TensorFlow 2' course. This course is designed for beginners and intermediate learners who want to master the art of developing deep learning models using one of the most powerful machine learning frameworks available today. From constructing your first model to implementing advanced techniques, this course covers it all.
Coursera
Embark on an exciting journey to bring your machine learning models into the real world with 'Browser-based Models with TensorFlow.js'. This comprehensive course, part of Coursera's Specialization, will teach you how to effectively deploy ML models in any browser using TensorFlow.js. Learn techniques for handling data within browsers and build a practical computer vision project that recognizes and classifies objects from a webcam.
Coursera
Embark on a journey into the practical application of machine learning models with 'Device-based Models with TensorFlow Lite'. This course is designed for those who want to extend their expertise beyond modeling data and delve into deploying ML models in real-world scenarios. You'll learn how to optimize models for mobile devices, execute them on both Android and iOS platforms, and even deploy on embedded systems like Raspberry Pi and microcontrollers using TensorFlow Lite.
Coursera
Dive into the world of Artificial Intelligence with our introductory course. Learn what AI is, explore real-world applications, grasp essential concepts such as machine learning and neural networks, and gain insights on ethics, bias, job impacts, and how to start a career in AI. Get hands-on experience with a mini-project.
Coursera
Dive into Customising Your Models with TensorFlow 2 and unlock the potential to create highly specialized deep learning models for any application. This course will guide you through developing intricate model structures, crafting bespoke layers, and establishing a versatile data handling system using TensorFlow's powerful lower-level APIs.
Coursera
Embark on a transformative journey into the intersection of medicine and artificial intelligence with 'AI for Medical Diagnosis'. This course is designed for AI practitioners eager to leverage their coding and mathematical knowledge to tackle healthcare challenges. Gain insights into how AI is revolutionizing medical diagnosis without requiring prior medical expertise. Discover how you can contribute to improving patient outcomes through advanced data analysis and predictive modeling.