Packt
Keras Deep Learning & Generative Adversarial Networks (GAN) Specialization
Packt

Keras Deep Learning & Generative Adversarial Networks (GAN) Specialization

Master GANs and deep learning with Keras. Understand about deep learning and Generative Adversarial Networks using Python and Keras with this comprehensive course.

Packt

Instructor: Packt

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Get in-depth knowledge of a subject
Intermediate level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Define key concepts of Artificial Intelligence (AI) and machine learning

  • Describe the basic structure of artificial neurons and neural networks

  • Differentiate between various data structures in Python and their use cases

  • Develop neural network models utilizing the principles of stride, padding, and flattening in CNNs

Details to know

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Taught in English
Recently updated!

September 2024

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Specialization - 3 course series

What you'll learn

  • Identify and define the core concepts of AI and machine learning

  • Explain Python programming fundamentals, including flow control mechanisms, data structures, and functions

  • Utilize essential Python libraries such as NumPy, Matplotlib, and Pandas for data manipulation and visualization

  • Develop and train neural networks using deep learning frameworks like TensorFlow and PyTorch, understanding their architecture and functioning

Skills you'll gain

Category: neural networks
Category: NumPy
Category: Python programming
Category: deep learning
Category: TensorFlow

What you'll learn

  • Identify the key features and functions of the Keras deep learning library

  • Explain the process and importance of exploratory data analysis (EDA) and data visualization

  • Distinguish between different types of Convolutional Neural Networks (CNNs) and their applications in image classification

  • Develop and deploy optimized deep learning models using cloud-based resources

Skills you'll gain

Category: Keras (Neural Network Library)
Category: Deep Learning
Category: Convolutional Neural Networks
Category: Machine Learning
Category: Image Augmentation

What you'll learn

  • Understand the principles and architecture of GANs

  • Explain how to implement and train GAN models for image synthesis

  • Apply techniques to optimize GAN models for improved performance

  • Evaluate and interpret GAN-generated images

Skills you'll gain

Category: Keras
Category: Generative Adversarial Networks
Category: Deep Learning
Category: TensorFlow
Category: AI Image Synthesis

Instructor

Packt
Packt
170 Courses2,469 learners

Offered by

Packt

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