For week 5 we dove into visualizations. The last 2 weeks we touched on convolutional networks but not necessarily how they functioned. This week we lifted the hood a little to break down what was happening. Next week we’ll dive into generative models.
This week:
- visualizing neural networks
- optimization-based class synthesis
- style transfer and texture analysis
Deep learning frameworks:
How some of these items are more like the tips of the iceberg, how processing is to java as keras is to tensorflow.
Review of Neural Networks