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About ConvNetJS Talk
This document discusses ConvNetJS, a library for running deep learning models in the browser. It begins with an overview of deep learning concepts like image classification, localization, and neural network components. It then introduces ConvNetJS, describing how it implements common neural network layers and training procedures. Issues with ConvNetJS like speed are addressed. The document explores using pre-trained models with CaffeJS, a work-in-progress library for importing Caffe models into ConvNetJS. Areas for future work are identified, such as fully convolutional networks and compiling models to WebAssembly.
Detailed Information
| Author: | ['बी० के० शर्मा'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 39 |
| Language: | English |
| Format: | |
| Price: | FREE |
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