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Deep Learning with Caffe

This course will teach you to build your very own convolutional neural network with Caffe to solve custom image classification problems.

Pratheerth Padman - Pluralsight course - Deep Learning with Caffe
by Pratheerth Padman

What you'll learn

There are many deep learning frameworks to choose from. Caffe, which is written with speed, expression, and modularity in mind, is a great contender to be your framework of choice. In this course, Deep Learning with Caffe, you’ll learn to use Caffe to build a convolutional neural network that will help you classify a given set of images.

First, you’ll explore what deep learning is, how it differs from traditional machine learning, and how a neural network functions. Next, while building your very own convolutional neural network, you’ll learn how to prepare data for deep learning, define the model and solver, and train the model. Finally, you’ll discover how to improve the performance of your model using transfer learning.

When you’re finished with this course, you’ll have the skills and knowledge necessary to build your very own CNN using Caffe that’ll help solve custom image classification problems.

Table of contents

About the author

Pratheerth Padman - Pluralsight course - Deep Learning with Caffe
Pratheerth Padman

Pratheerth is a freelance Data Scientist who has entered the field after an eclectic mix of educational and work experiences.

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