Developing an image classifier using TensorFlow : convolutional neural network tutorial / [Saurabh Kulshrestha] ; [produced by] Apress.

Format:

Video

Contributor:

Kulshrestha, Saurabh, speaker.

Apress (Firm), production company.

Series:

Academic Video Online

Language:

English

Subjects (All):

TensorFlow.

Neural networks (Computer science).

Image processing--Digital techniques.

Image processing.

Genre:

Instructional films.

Physical Description:

1 online resource (42 minutes)

Place of Publication:

New York, NY : Springer Nature, 2019.

Language Note:

In English.

System Details:

video file

Summary:

Use TensorFlow to classify images automatically. This video starts by explaining the basics of computerized image classification. You'll understand how software processes images and how you can control and manipulate the images with that process. Then you'll dive into the basics of artificial intelligence and machine learning, understanding the limitations of traditional machine learning algorithms, and learning the new avenues opened up by deep learning and advanced AI. What You Will LearnApply the TensorFlow and Keras libraries to complex problemsMove past traditional machine learning algorithms into more advanced deep learningDevelop proficiency in convolutional neural network development Who This Video Is ForAdvanced programmers and engineers, such as data scientists, machine learning experts, Python developers, and research analysts.

Participant:

Saurabh Kulshrestha, presenter.

Notes:

Title from resource description page (viewed March 09, 2020).

OCLC:

1150049814