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Pluralsight

Deep Learning with Caffe

via Pluralsight

Overview

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

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.

Syllabus

  • Course Overview 1min
  • Demystifying Deep Learning and Image Classification 19mins
  • Building a Convolutional Neural Network to Classify Images 32mins
  • Improving Performance Using Transfer Learning 13mins

Taught by

Pratheerth Padman

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