Coursera MOOC / Non-credit 0

Keras Deep Learning & Generative Adversarial Networks (GAN)

Name: Keras Deep Learning & Generative Adversarial Networks (GAN)
Price: 49 USD
Availability: InStock

About this course

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course offers an in-depth exploration of AI and deep learning, starting with foundational concepts and progressing to neural networks and deep learning with Keras. You'll learn how neural networks process data, predict outcomes, and solve complex problems. In the second part of the course, you'll dive into Generative Adversarial Networks (GANs), learning how they generate realistic data by using two competing neural networks: the generator and discriminator. You'll build GAN models with the MNIST dataset, explore their inner workings, and fine-tune them for optimal performance. By the course's conclusion, you'll be adept at handling various AI and deep learning libraries, training models using large datasets, and deploying deep learning solutions. Whether you're working on image generation or data augmentation, this course will provide you with the expertise needed to excel in today’s AI-driven world. This course is ideal for intermediate learners with basic Python programming skills and some familiarity with AI or machine learning concepts. You should be comfortable with Python basics, including data structures like lists and dictionaries, and have some experience with data libraries such as NumPy.

68/100

CourseAsk score

What the provider tells you: 32/45
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 the fundamental concepts of AI and deep learning
implement neural networks using Keras
build and fine-tune Generative Adversarial Networks (GANs)
work with datasets like MNIST for image generation
deploy deep learning solutions

Artificial Intelligence Deep Learning #deep learning #python #artificial intelligence #machine learning #data science #neural networks #model training #data augmentation #ai #keras #data preprocessing #gan #mnist #ipython #generative adversarial networks #large datasets #nummpy

$49.00

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