14 hours (usually 2 days including breaks)
- Experience with Matlab
- No previous experience with data science is required
In this instructor-led, live training, participants will learn how to use Matlab to design, build, and visualize a convolutional neural network for image recognition.
By the end of this training, participants will be able to:
- Build a deep learning model
- Automate data labeling
- Work with models from Caffe and TensorFlow-Keras
- Train data using multiple GPUs, the cloud, or clusters
- Domain experts
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
To request a customized course outline for this training, please contact us.
Tomasz (the trainer) was knowledgeable and friendly and made the training very interesting. He helped me learnt a lot about a subject I was very new to.
Paul Cox - Network Rail
Course: MATLAB Programming
MAN Bus Sp. z o.o.; EDAG Engineering Polska Sp. z o.o.; AVL Software and Functions GmbH Sp. z o. o. - Oddział w Polsce
Course: MATLAB and Simulink
Trainer took the initiative to cover additional content outside our course materials to improve our learning.
Chia Wu Tan - SMRT Trains Ltd
Bookings, Prices and Enquiries
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|Number of Delegates||Public Classroom|
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