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Deep Learning for Beginners

You're reading from  Deep Learning for Beginners

Product type Book
Published in Sep 2020
Publisher Packt
ISBN-13 9781838640859
Pages 432 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Dr. Pablo Rivas Dr. Pablo Rivas
Profile icon Dr. Pablo Rivas
LinkedIn
Dr. Pablo Rivas is an assistant professor of computer science at Baylor University in Texas. He worked in industry for a decade as a software engineer before becoming an academic. He is a senior member of the IEEE, ACM, and SIAM. He was formerly at NASA Goddard Space Flight Center performing research. He is an ally of women in technology, a deep learning evangelist, machine learning ethicist, and a proponent of the democratization of machine learning and artificial intelligence in general. He teaches machine learning and deep learning. Dr. Rivas is a published author and all his papers are related to machine learning, computer vision, and machine learning ethics. Dr. Rivas prefers Vim to Emacs and spaces to tabs.
See other products by Dr. Pablo Rivas

Table of Contents (20) Chapters

Preface 1. Section 1: Getting Up to Speed
2. Introduction to Machine Learning 3. Setup and Introduction to Deep Learning Frameworks 4. Preparing Data 5. Learning from Data 6. Training a Single Neuron 7. Training Multiple Layers of Neurons 8. Section 2: Unsupervised Deep Learning
9. Autoencoders 10. Deep Autoencoders 11. Variational Autoencoders 12. Restricted Boltzmann Machines 13. Section 3: Supervised Deep Learning
14. Deep and Wide Neural Networks 15. Convolutional Neural Networks 16. Recurrent Neural Networks 17. Generative Adversarial Networks 18. Final Remarks on the Future of Deep Learning 19. Other Books You May Enjoy

Introduction and setup of Keras

If you search on the internet for sample TensorFlow code, you will find that it may not be super easy to understand or follow. You can find tutorials for beginners but, in reality, things can get complicated very easily and editing someone else's code can be very difficult. Keras comes as an API solution to develop deep learning Tensorflow model prototypes with relative ease. In fact, Keras supports running not only on top of TensorFlow, but also over CNTK and Theano.

We can think of Keras as an abstraction to actual TensorFlow models and methods. This symbiotic relationship has become so popular that TensorFlow now unofficially encourages its use for those who are beginning to use TensorFlow. Keras is very user friendly, it is easy to follow in Python, and it is easy to learn in a general sense.

Setup

To set up Keras on your Colab, do the following:

  1. Run the following command:
!pip install keras
  1. The system will proceed to install the necessary libraries...
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Authors (1)

Profile icon Dr. Pablo Rivas
LinkedIn
Dr. Pablo Rivas is an assistant professor of computer science at Baylor University in Texas. He worked in industry for a decade as a software engineer before becoming an academic. He is a senior member of the IEEE, ACM, and SIAM. He was formerly at NASA Goddard Space Flight Center performing research. He is an ally of women in technology, a deep learning evangelist, machine learning ethicist, and a proponent of the democratization of machine learning and artificial intelligence in general. He teaches machine learning and deep learning. Dr. Rivas is a published author and all his papers are related to machine learning, computer vision, and machine learning ethics. Dr. Rivas prefers Vim to Emacs and spaces to tabs.
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See other products by Dr. Pablo Rivas

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