Deep learning using Keras : a complete and compact guide for beginners / Abhilash Nelson.

Format:

Video

Contributor:

Nelson, Abhilash, presenter.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Machine learning.

Python (Computer program language).

Neural networks (Computer science).

Physical Description:

1 online resource (1 video file (9 hr., 37 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, [2021]

Summary:

Learn deep learning from scratch using Python and Keras. The artificial intelligence domain is divided broadly into deep learning and machine learning. In fact, deep learning is machine learning itself but deep learning with its deep neural networks and algorithms tries to learn high-level features from data without human intervention. That makes deep learning the base of all future self-intelligent systems. This course begins with going over the basics of Python and then quickly moves on to important libraries of Python that are critical to data analysis and visualizations, such as NumPy, Pandas, and Matplotlib. After the basics, we will then install the deep learning libraries--Theano and TensorFlow--and the API for dealing with these called Keras. Then, before we jump into deep learning, we will have an elaborate theory session about the basic structure of artificial neuron and neural networks, and about activation functions, loss functions, and optimizers.

Notes:

OCLC-licensed vendor bibliographic record.

"Updated in October 2021."

ISBN:

9781803242835

1803242833

OCLC:

1302203486