Coursera MOOC / Non-credit 0

Learning Deep Learning: Unit 3

Name: Learning Deep Learning: Unit 3
Price: 49 USD
Availability: InStock

About this course

This course covers key deep learning architectures such as BERT and GPT, focusing on their use in applications like chatbots and prompt tuning. You will learn how to build models that combine text and images, and generate text from visual data. The course also addresses multitask learning and computer vision tasks, including object detection and segmentation, using networks like R-CNN, U-Net, and Mask R-CNN. Topics include ethical considerations in AI and practical advice for tuning and deploying models. Through hands-on projects in TensorFlow and PyTorch, you will develop the skills needed to build, optimize, and apply deep learning solutions in real-world situations.

67/100

CourseAsk score

What the provider tells you: 31/45
Who stands behind it: 20/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

understand key deep learning architectures
build models for text and image data
apply deep learning techniques for multitask learning
implement ethical considerations in AI

Course objectives

develop skills in TensorFlow and PyTorch
execute deep learning projects in real-world contexts
enhance understanding of model tuning and deployment

Deep Learning #deep learning #ethical ai #gpt #pytorch #object detection #tensorflow #chatbots #segmentation #bert #prompt tuning #multitask learning #visual data processing #r-cnn #u-net #mask r-cnn

$49.00

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