December 2018
Intermediate to advanced
394 pages
10h 26m
English
Overview
Explore the innovative features of Keras 2.x with this project-oriented guide. Through engaging examples, dive deep into practical implementations of reinforcement learning, GANs, and NLP applications. Develop a robust understanding of deep learning workflows for real-world applications and projects.
What this Book will help me do
- Apply regression and classification methods to diverse datasets.
- Master convolutional and recurrent neural networks for specific tasks.
- Understand traditional and advanced components of neural network architectures.
- Implement energy-efficient models for self-driving car functionalities.
- Gain proficiency in building neural networks using Keras efficiently.
Author(s)
Giuseppe Ciaburro is an experienced AI and machine learning professional, with numerous works in data science and deep learning. His approach blends theory and hands-on projects to create a well-rounded learning experience.
Who is it for?
This book is ideal for machine learning enthusiasts with some prior knowledge of neural networks and programming. Whether you're a data scientist, developer, or AI engineer, the hands-on projects are perfect for sharpening your skills. Readers should have basic familiarity with Keras and deep learning. Seasoned programmers will find this resource particularly enriching.
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