Building Blocks for Deep Learning in the Wolfram Language
Building Blocks for Deep Learning in the Wolfram Language
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 54m | 120 MB
Created by Wolfram Research
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 54m | 120 MB
Created by Wolfram Research
This course explores how to construct neural networks in the Wolfram Language. The Wolfram Language neural network framework provides symbolic building blocks to build, train, and tune a network, as well as automatically process input and output using encoders and decoders. Discover how to build feed-forward networks, and learn about recurrent neural nets and why they are interesting.
Building Blocks for Deep Learning in the Wolfram Language
