Here we’ll learn:
Microsoft Cognitive Toolkit (CNTK) – CPU and GPU
CNTK – Sequence Classification
Microsoft Cognitive Toolkit (CNTK) – Introduction
Microsoft Cognitive Toolkit (CNTK) – Getting Started
CNTK – Logistic Regression Model
CNTK – Neural Network (NN) Concepts
CNTK – Creating First Neural Network
CNTK – Training the Neural Network
CNTK – In-Memory and Large Datasets
CNTK – Measuring Performance
CNTK – Neural Network Classification
CNTK – Neural Network Binary Classification
CNTK – Neural Network Regression
CNTK – Classification Model
CNTK – Regression Model
CNTK – Out-of-Memory Datasets
CNTK – Monitoring the Model
CNTK – Convolutional Neural Network
CNTK – Recurrent Neural Network
Microsoft Cognitive Toolkit – Quick Guide
Curriculum
- 20 Sections
- 126 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Microsoft Cognitive Toolkit (CNTK) - CPU and GPUMicrosoft Cognitive Toolkit offers two different build versions namely CPU-only and GPU-only.5
- CNTK - Sequence ClassificationIn this chapter, we will learn in detail about the sequences in CNTK and its classification.3
- Microsoft Cognitive Toolkit (CNTK) - Introduction5
- Microsoft Cognitive Toolkit (CNTK) - Getting Started9
- CNTK - Logistic Regression Model5
- CNTK - Neural Network (NN) Concepts6
- CNTK - Creating First Neural Network5
- CNTK - Training the Neural Network6
- CNTK - In-Memory and Large Datasets5
- CNTK - Measuring Performance4
- CNTK - Neural Network Classification7
- CNTK - Neural Network Binary Classification5
- CNTK - Neural Network Regression7
- CNTK - Classification Model5
- CNTK - Regression Model3
- CNTK - Out-of-Memory Datasets3
- CNTK - Monitoring the Model6
- CNTK - Convolutional Neural Network6
- CNTK - Recurrent Neural Network12
- 19.1overview
- 19.2Introduction
- 19.3What is Recurrent Neural Network?
- 19.4Uses of Recurrent Neural Network
- 19.5Working of RNN
- 19.6Advanced Recurrent Units
- 19.7Long-Short Term Memory (LSTM)
- 19.8Gated Recurrent Units (GRUs)
- 19.9Creating RNN structure
- 19.10Staking multiple layers
- 19.11Training RNN with time series data
- 19.12Validating the model
- Microsoft Cognitive Toolkit - Quick Guide19
- 20.1Microsoft Cognitive Toolkit (CNTK) – Introduction
- 20.2Microsoft Cognitive Toolkit (CNTK) – Getting Started
- 20.3Microsoft Cognitive Toolkit (CNTK) – CPU and GPU
- 20.4CNTK – Sequence Classification
- 20.5CNTK – Logistic Regression Model
- 20.6CNTK – Neural Network (NN) Concepts
- 20.7CNTK – Creating First Neural Network
- 20.8CNTK – Training the Neural Network
- 20.9CNTK – In-Memory and Large Datasets
- 20.10CNTK – Measuring Performance
- 20.11CNTK – Neural Network Classification
- 20.12CNTK – Neural Network Binary Classification
- 20.13CNTK – Neural Network Regression
- 20.14CNTK – Classification Model
- 20.15CNTK – Regression Model
- 20.16CNTK – Out-of-Memory Datasets
- 20.17CNTK – Monitoring the Model
- 20.18CNTK – Convolutional Neural Network
- 20.19CNTK – Recurrent Neural Network
