Model-Based Deep Learning - Beyond Unrolling

Explore advanced model-based deep learning techniques beyond unrolling, focusing on innovative approaches for deep reconstruction in neural networks.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Improved Ultrasound Image Formation - Domain Adaptation With No Data

Explore advanced techniques for enhancing ultrasound imaging through domain adaptation, focusing on methods that require no additional data input.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Fast Motion-Resolved 4D MRI Using Convolutional Networks Without Data Consistency

Explore cutting-edge techniques for rapid 4D MRI reconstruction using convolutional networks, focusing on motion-resolved imaging without data consistency constraints.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Modeling Prior Information to Guide Image Reconstruction in Radiation Therapy

Explore innovative techniques for incorporating prior knowledge into image reconstruction algorithms, enhancing accuracy and efficiency in radiation therapy planning and delivery.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Deep Subspace Learning for Dynamic MR Image Reconstruction

Explore advanced techniques for dynamic MR image reconstruction using deep subspace learning, enhancing medical imaging capabilities and diagnostic accuracy.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Theoretical Interpretation of the ACID for Stabilizing Deep Reconstruction Networks

Explore theoretical insights into ACID's role in stabilizing deep reconstruction networks, enhancing understanding of neural network optimization and performance.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Operations Research (1): Models and Applications

463 ratings at Coursera

This course introduces frameworks and ideas about various types of optimization problems in the business world. In particular, we focus on how to formulate real business problems into mathematical models that can be solved by computers.

• Coursera
• 11 hours 27 minutes
• On-Demand
• Free Online Course (Audit)

Operations Research (2): Optimization Algorithms

121 ratings at Coursera

Explore optimization algorithms for linear, integer, and nonlinear programs. Learn efficient methods like simplex, branch-and-bound, gradient descent, and Newton's method. Apply concepts to real-world business cases.

• Coursera
• 12 hours
• On-Demand
• Free Online Course (Audit)

Foundations of Advanced Wireless Communication

Explore advanced wireless communication concepts, from multi-antenna systems to MIMO, massive MIMO, OFDM, and NOMA. Learn key techniques for designing modern wireless systems and enhancing network performance.

• Coursera
• 1 day 19 hours 58 minutes
• On-Demand
• Free Online Course (Audit)

Degree

Post Graduate Certificate in Advanced Machine Learning & AI

Advance your career in AI with a Certificate from IIT Roorkee

• Coursera
• 24 weeks, 6-8 hours a week
• On-Demand
• Paid Course

Microcredential

TensorFlow 2 for Deep Learning

Develop practical skills in TensorFlow 2 for deep learning, covering model building, training, evaluation, customization, and probabilistic approaches using TensorFlow Probability.

• Coursera
• 17 weeks, 7 hours a week
• On-Demand
• Paid Course
• 3 courses

Advanced Algorithmics and Graph Theory with Python

1 review

Strengthen your skills in algorithmics and graph theory, and gain experience in programming in Python along the way.

• edX
• 6 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Getting started with TensorFlow 2

564 ratings at Coursera

Learn to build, train, evaluate, and predict with deep learning models using TensorFlow 2's Sequential API. Includes hands-on coding tutorials, assignments, and a capstone project to develop an image classifier from scratch.

• Coursera
• 1 day 2 hours 13 minutes
• On-Demand
• Free Online Course (Audit)

Customising your models with TensorFlow 2

188 ratings at Coursera

Deepen TensorFlow skills to create custom deep learning models. Learn advanced APIs, complex architectures, and flexible data workflows. Develop a neural translation model in the capstone project.

• Coursera
• 1 day 3 hours 18 minutes
• On-Demand
• Free Online Course (Audit)

Probabilistic Deep Learning with TensorFlow 2

101 ratings at Coursera

Explore probabilistic deep learning with TensorFlow Probability, covering distributions, Bayesian neural networks, normalizing flows, and variational autoencoders. Gain hands-on experience through coding tutorials and a capstone project.

• Coursera
• 2 days 4 hours 34 minutes
• On-Demand
• Free Online Course (Audit)