Merge branch 'master' of https://gitlab.cern.ch/fastmachinelearning/cms_mlatl1t_tutorial

part2/README.md

+# Efficient inference: Model compression and hls4ml
+
+In this part, we will start from the data and model you trained in Part 1. We will train a new model quantization aware using QKeras, compare the model performance to that of Part 1 and build the FPGA firmware of this quantized, sparse model using hls4ml.
+
+We assume that you have already participated in Part 1, but if you have not, you can copy the neccessary files from
+```/eos/home-t/thaarres/cms_mlatl1t_tutorial/part1/```
+
+Assuming you have already followed the setup instructions (```bash start_notebooks.sh```), go ahead and run through ```part2_compression.ipynb```!