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+--- Thread: Building Blocks for Deep Learning in the Wolfram Language (/Thread-Building-Blocks-for-Deep-Learning-in-the-Wolfram-Language)
Building Blocks for Deep Learning in the Wolfram Language - OneDDL - 01-03-2024
![[Image: 1a0167acfe75b6cfdf3af9896b04257f.jpeg]](https://i122.fastpic.org/big/2024/0103/7f/1a0167acfe75b6cfdf3af9896b04257f.jpeg)
Free Download Building Blocks for Deep Learning in the Wolfram Language
Released 1/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 54m | Size: 120 MB
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.
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