Book Content
chapters • 8h12m total length
1. Mobile Landscapes in Machine Learning
2. CNN Based Age and Gender Identification Using Core ML
3. Applying Neural Style Transfer on Photos
4. Deep Diving into the ML Kit with Firebase
5. A Snapchat-Like AR Filter on Android
6. Handwritten Digit Classifier Using Adversarial Learning
7. Face-Swapping with Your Friends Using OpenCV
8. Classifying Food Using Transfer Learning
9. What's Next?
