The "Intro to Deep Learning and Generative Models" course provides a comprehensive foundation in deep learning and generative models, covering key concepts such as neural networks, autoencoders, and GANs. Designed for those new to the field, this course combines theoretical insights with practical, hands-on experience using frameworks like TensorFlow and PyTorch. Participants will learn to build and deploy models for real-world applications, including image and text generation, and gain the skills needed to innovate in areas such as computer vision and natural language processing.
Learn moreHas discount |
![]() |
||
---|---|---|---|
Expiry period | Lifetime | ||
Made in | English | ||
Last updated at | Tue Jul 2024 | ||
Level |
|
||
Total lectures | 171 | ||
Total quizzes | 0 | ||
Total duration | 40:26:25 Hours | ||
Total enrolment |
![]() |
||
Number of reviews | 5 | ||
Avg rating |
|
||
Short description | The "Intro to Deep Learning and Generative Models" course provides a comprehensive foundation in deep learning and generative models, covering key concepts such as neural networks, autoencoders, and GANs. Designed for those new to the field, this course combines theoretical insights with practical, hands-on experience using frameworks like TensorFlow and PyTorch. Participants will learn to build and deploy models for real-world applications, including image and text generation, and gain the skills needed to innovate in areas such as computer vision and natural language processing. | ||
Outcomes |
|
||
Requirements |
|