September 2023
Intermediate
17h 25m
English
Closed Captioning available in English
Overview
In this 17 hr course, you will explore the fundamentals of deep learning and Generative Adversarial Networks (GANs) using Python and Keras. You'll start with Python basics and progress to building and training advanced GAN models.
What I will be able to do after this course
- Develop a strong foundation in deep learning concepts and neural networks.
- Learn Python programming, including working with libraries like NumPy and Pandas.
- Implement Convolutional Neural Networks (CNNs) for image processing tasks.
- Build and train advanced GAN models to generate synthetic images.
- Gain skills to fine-tune AI models for practical applications and deployment.
Course Instructor(s)
Abhilash Nelson, a highly skilled educator and developer, excels in simplifying complex concepts for learners. Combining his industry and teaching experience, Abhilash makes advanced topics in AI and deep learning approachable. His focus on practical learning equips students with valuable, real-world skills.
Who is it for?
This course is perfect for beginners interested in AI and deep learning, as well as developers aiming to understand GANs in depth. Whether you're a student, data scientist, or aspiring ML engineer, this course will boost your skills and career prospects.
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