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deeplearn-rs
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deeplearn-rs

Overview
Synopsis

Deeplearn-rs is a deep neural network in Rust. It has currently implemented models such as MNIST handwritten digit recognition and char-rnn using LSTM.

Category

Artificial Neural Network Software

Features

•MNIST handwritten digit recognition
•char-rnn using LSTM

License

Proprietary Software

Price

Deeplearn-rs is an open source program

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)

Company

deeplearn-rs

What is best?

•MNIST handwritten digit recognition
•char-rnn using LSTM

PAT Rating™
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
8.3
6.7
Features & Functionality
8.4
6.3
Advanced Features
8.5
3.3
Integration
8.5
Performance
8.3
Customer Support
7.4
Implementation
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Bottom Line

deeplearn-rs have SGD and RMSProp as optimizers.Deeplearn-rs provide utilities for working with data which includes images, TSV and CSV and raw text data and word embeddings.

8.2
Editor Rating
5.4
Aggregated User Rating
2 ratings
You have rated this

Deeplearn-rs is a deep neural network in Rust. It has currently implemented models such as MNIST handwritten digit recognition and char-rnn using LSTM. Layers that has already been implemented are Matrix multiply (fully connected), Add (for bias, for example), LSTM, Softmax, MSE loss and Cross entropy loss. deeplearn-rs have SGD and RMSProp as optimizers.

Deeplearn-rs provide utilities for working with data which includes images, TSV and CSV and raw text data and word embeddings. It also allows data types other than f32 and implements casting between arrays of primitive numeric types as well as more layer types such as Conv2d, Pooling and Dropout.

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Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Customer Support
Implementation
Renew & Recommend

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