Book Content
chapters • 10h24m total length
1. Artificial Intelligence Concepts and Fundamentals
2. Creating a Real-Estate price prediction mobile app
3. Implementing Deepnet Architectures to Recognize Hand Written Digits
4. Building a Machine Vision Mobile App to Classify Flower Species
5. Building a ML Model to Predict Car Damage Using TensorFlow
6. PyTorch experiments on NLP and RNN
7. TensorFlow on Mobile with Speech-to-Text with the WaveNet Model
8. Implementing GANs to Recognize Handwritten Digits
9. Sentiment Analysis over Text Using LinearSVC
10. What's next?
