Generative AI with Python and TensorFlow 2

Explore generative AI with Python and TensorFlow 2, mastering advanced algorithms, implementing models, and leveraging cloud resources to future-proof your skills and lead the GenAI revolution.
103 Lessons
16h
Updated 1 month ago
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With recent improvements in machine learning and deep learning, generative modeling has seen a tremendous uptick in the number of research works and its applications across different areas. Some of the newer methods (such as GANs) are very powerful yet difficult to control, making the overall learning process both exciting and frustrating. In this course, you’ll explore generative AI, a cutting-edge technology for generating synthetic (yet strikingly realistic) data using advanced machine learning algorithms. You’ll learn the theory and fundamentals and discover the potential and impact of these models through worked examples. You’ll also implement these models using a variety of open-source technologies—the Python programming language, the TensorFlow 2 library for deep neural network development, and cloud computing resources such as Google Colab and the Kubeflow project. Taking this course will help learners explore more complex topics and cutting-edge research with ease.
With recent improvements in machine learning and deep learning, generative modeling has seen a tremendous uptick in the number o...Show More

WHAT YOU'LL LEARN

An understanding of generative models, including their applications, principles of probability, and various techniques used in generative AI
Working knowledge of deep learning, including perceptrons, backpropagation, convolutional neural networks (CNNs), and recurrent neural networks (RNNs)
Hands-on experience implementing generative AI models using TensorFlow 2
Familiarity with emerging applications of generative AI
An understanding of generative models, including their applications, principles of probability, and various techniques used in generative AI

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TAKEAWAY SKILLS

TensorFlow

Python

Generative AI

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Author NameGenerative AI with Pythonand TensorFlow 2

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Frequently Asked Questions

Can I use TensorFlow for generative AI?

Yes, you can use TensorFlow for generative AI by implementing models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) to generate new data, such as images, text, and music.

What is GAN in AI?

GAN (Generative Adversarial Network) in AI is a framework consisting of two neural networks, a generator and a discriminator, that compete to generate realistic data samples and distinguish between real and fake data.