The Microsoft Cognitive Toolkit
A framework for building deep learning models using computational graphs
&
| + | Scalability | Scales seamlessly from CPUs to GPUs to clusters, handling massive datasets with ease. |
|---|---|---|
| + | Python/C++ API Support | Includes Python/C++ API support offering flexibility and developer choice |
| + | Tutorials | Onboard quickly with Python notebooks and examples. |
| + | Layers Interface | An easy-to-use interface for building neural networks. |
| + | Custom Layer Support | Allows users to define their custom layers for specific tasks, extending its functionality |
| + | Sequence-to-Sequence with Attention | Supports sequence-to-sequence models with attention mechanisms |
| + | Batch Normalization | Built-in batch normalization for improved training stability. |
| + | Convolutional Neural Networks (CNN) | Powerful for image recognition and classification. |
| + | Feedforward Neural Networks (FFN) | Efficiently processes dense data. |
| + | Recurrent Neural Networks (RNN) | Handles sequential data like speech and text. |
| + | BrainScript Support | Handles multi-dimensional sparse and dense data. |
| + | Automatic Differentiation | Automatically computes gradients, a critical step in training neural networks |
| + | Built-in Data Readers | Built-in data readers optimized for various formats’ data loading and parsing |
System Requirements
Version ↓
| # | Recommended |
|---|---|
| 1 | Ubuntu 16.04 LTS (64 bit) |
| 2 | GNU C++ 5.4.0 |
| 3 | Open MPI v. 1.10.7 |
| 4 | Intel® MKLML library |
| 5 |
|
| 6 | OpenCV v.3.1.0 |
| 7 | zlib v.1.2.8 |
| 8 | libzip v.1.1.2 |
| 9 | OpenJDK 7, 64-bit |
| 10 | Anaconda3 4.1.1 (64 bit) |
| 11 | The presented set of product versions is not restrictive, i.e. CNTK may work well in many other configurations |
| # | Recommended |
|---|---|
| 1 |
|
| 2 | Visual Studio Enterprise 2017 |
| 3 | Microsoft MPI v. 7.0 |
| 4 | Intel® MKLML library |
| 5 |
|
| 6 | OpenCV v.3.1.0 |
| 7 | zlib v.1.2.8 |
| 8 | libzip v.1.1.3 |
| 9 | Java SE Development Kit 8 v1.8.0_131, 64-bit |
| 10 | Anaconda3 4.1.1 (64 bit) |
| 11 | The presented set of product versions is not restrictive, i.e. CNTK may work well in many other configurations |
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