Image Processing with Keras in Python

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Deep learning is the use of data to train neural networks for a variety of machine learning tasks, such as classifying objects. Convolutional neural networks are powerful deep learning algorithms that allow image analysis. This course will teach you how to train and evaluate convolutional neural networks. This course will show you how to improve their learning ability using data as well as how to interpret training results.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Introduction to Deep Learning in Python

What You Will Learn

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Learn powerful techniques for image analysis in Python using deep learning and convolutional neural networks in Keras

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This course will teach you how to construct, train and evaluate convolutional neural networks

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You will also learn how to improve their ability to learn from data, and how to interpret the results of the training

Course Instructors

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Ariel Rokem

Senior Data Scientist, University of Washington

Ariel Rokem is a Data Scientist at the University of Washington eScience Institute. He received a PhD in neuroscience from UC Berkeley, and postdoctoral training in computational neuroimaging at Stan...

Course Reviews

Average Rating Based on 3 reviews

5.0

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Course Cover

$12

$6

49% OFF

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