Microsoft Cognitive Toolkit(CNTK) Tutorial
Selected Reading
- Microsoft Cognitive Toolkit - Discussion
- Microsoft Cognitive Toolkit - Resources
- Microsoft Cognitive Toolkit - Quick Guide
- CNTK - Recurrent Neural Network
- CNTK - Convolutional Neural Network
- CNTK - Monitoring the Model
- CNTK - Out-of-Memory Datasets
- CNTK - Regression Model
- CNTK - Classification Model
- CNTK - Neural Network Regression
- Neural Network Binary Classification
- Neural Network Classification
- CNTK - Measuring Performance
- CNTK - In-Memory and Large Datasets
- CNTK - Training the Neural Network
- CNTK - Creating First Neural Network
- CNTK - Neural Network (NN) Concepts
- CNTK - Logistic Regression Model
- CNTK - Sequence Classification
- CPU and GPU
- Getting Started
- Introduction
- Home
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Microsoft Cognitive Toolkit(CNTK) Tutorial
Microsoft Cognitive Toolkit (CNTK), formerly known as Computational Network Toolkit, is a free, easy-to-use, open-source, commercial-grade toolkit that enable us to train deep learning algorithms to learn pke the human brain. It enables us to create some popular deep learning systems pke feed-forward neural network time series prediction systems and Convolutional neural network (CNN) image classifiers.
Audience
This tutorial will be useful for graduates, post-graduates, and research students who either have an interest in Deep learning or Artificial Neural Networks or have this subject as a part of their curriculum. The reader can be a beginner or an advanced learner.
Prerequisites
The reader must have basic knowledge about Neural Networks. He/she should also be aware about basic terminologies used in Python programming concepts.
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