Convolutional Neural Networks

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Browser-based Models with TensorFlow.js (Coursera) Coursera
DeepLearning.AI

Browser-based Models with TensorFlow.js (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.

Oct 12th 2026
4 Weeks
Deep Learning with Python and PyTorch (edX) EdX
IBM

Deep Learning with Python and PyTorch (edX)

Dive into the world of advanced deep learning with our expert-led course, 'Deep Learning with Python and PyTorch'. This course is designed to build upon your foundational knowledge in PyTorch, equipping you with the skills to construct sophisticated deep neural networks and train them using state-of-the-art methodologies. Whether you're a data scientist, machine learning enthusiast, or AI developer, this course will empower you to create and deploy complex models that can tackle real-world challenges.

Self Paced
Self-Paced
Apply Generative Adversarial Networks (GANs) (Coursera) Coursera
DeepLearning.AI

Apply Generative Adversarial Networks (GANs) (Coursera)

Dive into the world of Generative Adversarial Networks (GANs) with this in-depth online course. Whether you're interested in enhancing data privacy, augmenting datasets, or exploring creative applications like image translation, this course provides a solid foundation and practical experience with GANs. Learn to implement Pix2Pix and CycleGAN models, and understand the nuances between paired and unpaired image-to-image translations.

Oct 12th 2026
3 Weeks
Deep Learning Applications for Computer Vision (Coursera) Coursera
University of Colorado Boulder

Deep Learning Applications for Computer Vision (Coursera)

Dive into the world of Deep Learning Applications for Computer Vision with this expert-led course on Coursera. Designed for those seeking to harness the potential of artificial intelligence in visual data processing, this program offers a structured pathway to mastering complex computer vision techniques using deep learning methodologies. Whether you're a data scientist aiming to expand your expertise or a professional eager to innovate within your field, this course provides the knowledge and practical skills necessary to tackle real-world challenges with image recognition, object detection, and more.

Oct 12th 2026
5-12 Weeks
Machine Learning at the Edge on Arm: A Practical Introduction (edX) EdX
Arm Education,ArmEducationX

Machine Learning at the Edge on Arm: A Practical Introduction (edX)

Embark on a journey into the future of machine learning with 'Machine Learning at the Edge on Arm: A Practical Introduction'. This course is designed for tech enthusiasts and professionals looking to harness the power of edge computing and Arm-based microcontrollers. Learn how to create cutting-edge ML applications that process data locally, enhancing efficiency and privacy.

Self Paced
Self-Paced
Deep Neural Networks with PyTorch (Coursera) Coursera
IBM

Deep Neural Networks with PyTorch (Coursera)

Dive into the world of deep learning and master the powerful PyTorch framework with our expert-led course. From understanding basic concepts like tensors and automatic differentiation, to implementing complex models such as convolutional networks and recurrent neural networks, you'll gain a thorough understanding of building state-of-the-art deep learning solutions.

Jul 6th 2026
5-12 Weeks
Deep learning in Electronic Health Records - CDSS 2 (Coursera) Coursera
University of Glasgow

Deep learning in Electronic Health Records - CDSS 2 (Coursera)

Dive into the world of Deep Learning as applied to Electronic Health Records with our comprehensive course. Master the art of dealing with complex EHR datasets, including imputation techniques and encoding strategies for continuous, ordinal, and categorical variables. Apply your skills on real-world data from the MIMIC-III database to create robust clinical prediction benchmarks.

Jul 6th 2026
4 Weeks