TechSource Systems is MathWorks Authorised Reseller and Training Partner
Learn how to create, modify, train, and evaluate deep neural networks in MATLAB
Complimentary Services: Post training email support & 1-hr consultation session within 1 month after the course completion!
This two-day course provides a comprehensive introduction to practical deep learning using MATLAB®. Attendees will learn how to create, train, and evaluate different kinds of deep neural networks. The instructor-led training uses NVIDIA GPUs to accelerate network training. Topics include:
Engineers, professionals, researchers who are involved in machine learning design for image processing.
MATLAB Fundamentals
Deep Learning Onramp
Upon the completion of the course, the participants will be able to:
TechSource Systems is MathWorks Authorised Reseller and Training Partner
Objective: Perform image classification using pretrained networks. Use transfer learning to train customized classification networks.
Objective: Gain insight into how a network is operating by visualizing image data as it passes through the network. Apply this technique to different kinds of images.
Objective: Build convolutional networks from scratch. Understand how information is passed between network layers and how different types of layers work.
Objective: Understand how training algorithms work. Set training options to monitor and control training.
Objective: Choose and implement modifications to training algorithm options, network architecture, or training data to improve network performance.
Objective: Create convolutional networks that can predict continuous numeric responses.
Objective: Train networks to locate and label specific objects within images.
Objective: Build and train networks to perform classification on ordered sequences of data, such as time series or sensor data.
Objective: Use recurrent networks to create sequences of predictions.