Using Gradient-boosted decision trees (GBTs) with H2O and AutoML
Run TFLite models on RPi
Run Mask R-CNN and train it on custom data with Keras
Use an RNN with attention to translate French to English
Learn how to work with these fundamental DL frameworks
Achieve state-of-the-art image classification without the long training times
Various models with attention mechanisms
Make low resolution images high resolution using ESPCN
The 10 essential callback functions in TensorFlow
Build a VAE in Keras that can encode and decode images
Compress and reconstruct images
Adapt GauGAN for your own data
Generating natural-looking aged photos with GANs
Using TensorFlow to determine objects and surroundings in images
