Deep Learning with Caffe
Deep Learning with Caffe
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 7m | 809 MB
Instructor: Pratheerth Padman
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 7m | 809 MB
Instructor: Pratheerth Padman
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.
Deep Learning with Caffe
