6. Show how accurate your predicted model is, also explain in what situation and why it does (not) perform that well (in report and video). 7. If you re-train the network for your own custom images, you can choose different training options. Explain, and show statistics of the training process. 8. Explain the parameters that you used for re-training this network? 9. This example uses a custom (but pre-trained) network architecture, explain how it works and why it is build up this way? Explain

Filename	Size	Update
pid-fpga-vhdl-master
pid-fpga-vhdl-master\.gitignore	6	2015-05-02
pid-fpga-vhdl-master\LICENSE	1084	2015-05-02
pid-fpga-vhdl-master\README.md	740	2015-05-02
pid-fpga-vhdl-master\pid.vhd	4000	2015-05-02

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