Analyze Visual Data with Machine Learning

Build a Convolutional Neural Network using Deep Learning
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Analyze Visual Data with Machine Learning.

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Course Outline

A comprehensive list of all sections & lectures for this course can be found below.

Introduction

Course Prerequisite: Machine Learning - Fundamentals - 00:00

What is Keras? Why use it? - 08:02

What is a Convolutional Neural Network (CNN)? - 26:30

Installing Keras with Anaconda - 04:38

Preparing Dataset for a CNN - 17:38

Building / Visualizing a CNN using Sequential: Part 1 - 14:07

Building / Visualizing a CNN using Sequential: Part 2 - 19:41

Training CNN / Evaluating Accuracy / Saving to Disk - 17:54

Switching Python Environments / Converting to Core ML Model - 13:39

Next Course: Build a Handwriting Recognition App using CoreML - 00:00

Course Description

Course Prerequisite - Machine Learning Fundamentals

In this course, students will learn to build Convolutional Neural Networks using Machine Learning. The course begins with an introduction in Keras - a powerful easy-to-use Python library for developing and evaluating deep learning models. 

Convolutional Neural Networks (CNN) - "is a class of deep neural networks, most commonly applied to analyzing visual imagery. They are also known as shift invariant or space invariant artificial neural networks, based on their shared-weights architecture and translation invariance characteristics." - Wikipedia

Students will learn to work with datasets to build a CNN using Sequential. The course also explores training and evaluating CNN, while evaluating accuracy. 

Lastly, students will explore switching Python Environments, and converting to the Core ML Model. 

Analyze Visual Data with Machine Learning

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YouAccel
Teaching 89 Courses

YouAccel is currently teaching 89 courses. All courses are currently open for enrollment.

567,846 Enrollments

YouAccel currently has 567,846 global enrollments across 89 courses that are active on the platform.

4.5 Star Rating

YouAccel has an average rating of 4.5/5 stars, across 89 courses.

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