These lessons are shown in suggested viewing order.
Tensorflow; Reading Papers; Artistic Style Transfer
Super resolution; Fast Style Transfer; Generative Models
Handling Large Datasets; Multi-modal models; GANs
CNN improvements; Clustering in Pytorch; Memory Networks
Clustering in Tensorflow; Attentional Models
Neural Machine Translation; Densenets
Entity Embeddings & Time Series; FC Densenets for Segmentation
