Microsoft Cognitive Toolkit
Open-source toolkit specifically designed for commercial-grade distributed deep learning.
Introducing Microsoft Cognitive Toolkit (CNTK) 🚀
Microsoft Cognitive Toolkit (CNTK) is an open-source toolkit designed for commercial-grade distributed deep learning. While no longer actively developed, CNTK 2.7 marks its final major release. Here are some key features:
📈 Describes neural networks as a series of computational steps via a directed graph.
🔀 Easily realize and combine popular model types like feed-forward DNNs, CNNs, and RNNs/LSTMs.
⚙️ Implements SGD learning with automatic differentiation and parallelization across multiple GPUs and servers.
🔧 Can be included as a library in Python, C#, or C++ programs, or used as a standalone machine-learning tool through its model description language, BrainScript.
💻 Supports 64-bit Linux or 64-bit Windows operating systems.
🔄 One of the first deep-learning toolkits to support the ONNX format for framework interoperability and shared optimization.
Use Cases 📚
CNTK is incredibly versatile and can be used in various ways:
🔭 As a library in Python, C#, or C++ programs.
💡 As a standalone machine-learning tool through BrainScript.
☕ Also accessible from Java programs for CNTK model evaluation.
Pricing and Compatibility 💰💻
Great news! The 1-bit Stochastic Gradient Descent (1-bit SGD) in CNTK is available without any separate license requirement. It's conveniently provided under the license on GitHub.
CNTK supports both 64-bit Linux and 64-bit Windows operating systems. You can easily install it by choosing pre-compiled binary packages or compile the toolkit from the source available on GitHub.
ONNX Support 🌐
Looking for framework interoperability? CNTK has you covered. It's one of the first deep-learning toolkits to support the ONNX format, with the latest release supporting ONNX v1.0.
Explore the power of Microsoft Cognitive Toolkit (CNTK) and unlock the potential of deep learning.