Book Content
chapters • 12h36m total length
1. Getting Started with Deep Learning
2. Training a Prediction Model
3. Deep Learning Fundamentals
4. Training Deep Prediction Models
5. Image Classification Using Convolutional Neural Networks
6. Tuning and Optimizing Models
7. Natural Language Processing Using Deep Learning
8. Deep Learning Models Using TensorFlow in R
9. Anomaly Detection and Recommendation Systems
10. Running Deep Learning Models in the Cloud
11. The Next Level in Deep Learning
