Book Content
chapters • 12h48m total length
1. Introduction to Deep Learning with KNIME Analytics Platform
2. Data Access and Preprocessing with KNIME Analytics Platform
3. Getting Started with Neural Networks
4. Building and Training a Feedforward Neural Network
5. Autoencoder for Fraud Detection
6. Recurrent Neural Networks for Demand Prediction
7. Implementing NLP Applications
8. Neural Machine Translation
9. Convolutional Neural Networks for Image Classification
10. Deploying a Deep Learning Network
11. Best Practices and Other Deployment Options
