# Homework 2 > National Tsing Hua University > Fall 2022 11110IPT 5530 > Deep Learning in Biomedical Optical Imaging ###### tags: `homework` `NTHU` :::info - **Deadline:** ⚠️2022.10.04 00:00 - **Name:** 石子豪 - **Student ID:** 110066851 ::: [ToC] ## 1. Planar data classification with one hidden layer ### Exercise 1 ![](https://i.imgur.com/LC7LrMK.png) ### Exercise 2 - layer_sizes ![](https://i.imgur.com/fXy1cxB.png) ![](https://i.imgur.com/B7tY6PH.png) ### Exercise 3 - initialize_parameters ![](https://i.imgur.com/omGXSjW.png) ![](https://i.imgur.com/MLYYRN3.png) ![](https://i.imgur.com/3Fl7rKR.png) ### Exercise 4 - forward_propagation ![](https://i.imgur.com/oSDbbEW.png) ![](https://i.imgur.com/pBm6wpz.png) ![](https://i.imgur.com/VYLH0pF.png) ### Exercise 5 - compute_cost ![](https://i.imgur.com/UZI7FF6.png) ![](https://i.imgur.com/5VHLCzP.png) ### Exercise 6 - backward_propagation ![](https://i.imgur.com/a5pAkog.png) ![](https://i.imgur.com/ZKTVCVT.png) ![](https://i.imgur.com/jzEPnu3.png) ![](https://i.imgur.com/MGRrvkh.png) ### Exercise 7 - update_parameters ![](https://i.imgur.com/bhQU2b4.png) ![](https://i.imgur.com/CyzuqiL.png) ![](https://i.imgur.com/Aij6U0B.png) ![](https://i.imgur.com/C5GI75S.png) ### Exercise 8 - nn_model ![](https://i.imgur.com/LMaq9qa.png) ![](https://i.imgur.com/2TBgdco.png) ![](https://i.imgur.com/KlXoOIy.png) ![](https://i.imgur.com/Hv2hHNJ.png) ### Exercise 9 - predict ![](https://i.imgur.com/CUaJU8Z.png) ![](https://i.imgur.com/fRoxkEM.png) --- ## 2. Building your Deep Neural Network: Step by Step ### Exercise 1 - initialize_parameters ![](https://i.imgur.com/TAZcldV.png) ![](https://i.imgur.com/dhNstkB.png) ![](https://i.imgur.com/gy4CXNF.png) ### Exercise 2 - initialize_parameters_deep ![](https://i.imgur.com/oOeXGbE.png) ![](https://i.imgur.com/WGt6p9Q.png) ![](https://i.imgur.com/s9xYcAp.png) ### Exercise 3 - linear_forward ![](https://i.imgur.com/EW3hB8W.png) ![](https://i.imgur.com/My2DW91.png) ### Exercise 4 - linear_activation_forward ![](https://i.imgur.com/OfgyH2y.png) ![](https://i.imgur.com/gnbpdcf.png) ![](https://i.imgur.com/6KgqX4Q.png) ### Exercise 5 - L_model_forward ![](https://i.imgur.com/Kj5khoB.png) ![](https://i.imgur.com/GF2vJTy.png) ![](https://i.imgur.com/T79mlp6.png) ### Exercise 6 - compute_cost ![](https://i.imgur.com/fwV5OZd.png) ![](https://i.imgur.com/umnfqUC.png) ### Exercise 7 - linear_backward ![](https://i.imgur.com/EBPgGHs.png) ![](https://i.imgur.com/VeUapCJ.png) ![](https://i.imgur.com/7q5Th8b.png) ### Exercise 8 - linear_activation_backward ![](https://i.imgur.com/GG8xdAp.png) ![](https://i.imgur.com/wXAJKDe.png) ![](https://i.imgur.com/evQrfOF.png) ### Exercise 9 - L_model_backward ![](https://i.imgur.com/NweHJ5p.png) ![](https://i.imgur.com/Yi9OhWU.png) ![](https://i.imgur.com/4LoLdmz.png) ![](https://i.imgur.com/9FOILI6.png) ![](https://i.imgur.com/D0qGIQ5.png) ### Exercise 10 - update_parameters ![](https://i.imgur.com/2ScRihi.png) ![](https://i.imgur.com/gjJeZp4.png)