# 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:** Akshay Walkoli - **Student ID:** 110066421 ::: [ToC] ## 1. Planar data classification with one hidden layer ### Exercise 1 ![](https://i.imgur.com/dVW4n2B.jpg) ### Exercise 2 - layer_sizes ![](https://i.imgur.com/NyFWxmz.jpg) ![](https://i.imgur.com/8eCJVfQ.jpg) ### Exercise 3 - initialize_parameters ![](https://i.imgur.com/Cu0hqRb.jpg) ![](https://i.imgur.com/5gh4OCw.jpg) ![](https://i.imgur.com/uoCEo7h.jpg) ### Exercise 4 - forward_propagation ![](https://i.imgur.com/pYepiMP.jpg) ![](https://i.imgur.com/EdIWcID.jpg) ![](https://i.imgur.com/zMpuKkz.jpg) ### Exercise 5 - compute_cost ![](https://i.imgur.com/aX0d66s.jpg) ![](https://i.imgur.com/55dBQ2n.jpg) ### Exercise 6 - backward_propagation ![](https://i.imgur.com/vYoGCrY.jpg) ![](https://i.imgur.com/iXYHgIY.jpg) ![](https://i.imgur.com/8scMVLq.jpg) ![](https://i.imgur.com/CK194rY.jpg) ### Exercise 7 - update_parameters ![](https://i.imgur.com/vnQF85y.jpg) ![](https://i.imgur.com/QD0ODpa.jpg) ![](https://i.imgur.com/9O6KAaD.jpg) ![](https://i.imgur.com/dqWyjDY.jpg) ### Exercise 8 - nn_model ![](https://i.imgur.com/GlKJIWt.jpg) ![](https://i.imgur.com/NndiKrK.jpg) ![](https://i.imgur.com/2xb2TSp.jpg) ![](https://i.imgur.com/hATEQbN.jpg) ### Exercise 9 - predict ![](https://i.imgur.com/UYPZ6dU.jpg) ![](https://i.imgur.com/l9Z2sMG.jpg) ![](https://i.imgur.com/xvMOwLd.jpg) ![](https://i.imgur.com/8hPXaGx.jpg) ![](https://i.imgur.com/xksTAAO.jpg) --- ## 2. Building your Deep Neural Network ### Exercise 1 - initialize_parameters ![](https://i.imgur.com/seuYGoF.jpg) ![](https://i.imgur.com/v9Y7q1f.jpg) ### Exercise 2 - initialize_parameters_deep ![](https://i.imgur.com/2BFH5Bd.jpg) ![](https://i.imgur.com/8HzL5yv.jpg) ### Exercise 3 - linear_forward ![](https://i.imgur.com/A8mJNHw.jpg) ![](https://i.imgur.com/Cqm1eA7.jpg) ### Exercise 4 - linear_activation_forward ![](https://i.imgur.com/Qp76PpP.jpg) ![](https://i.imgur.com/vdze6dl.jpg) ### Exercise 5 - L_model_forward ![](https://i.imgur.com/8jeBP8m.jpg) ![](https://i.imgur.com/pcrCVc6.jpg) ### Exercise 6 - compute_cost ![](https://i.imgur.com/JtR6Eqq.jpg) ![](https://i.imgur.com/MCcRtnt.jpg) ### Exercise 7 - Linear Backwards ![](https://i.imgur.com/ZvDVxiW.jpg) ![](https://i.imgur.com/wNFAQS5.jpg) ### Exercise 8 - linear_activation_backwards ![](https://i.imgur.com/S4drdZX.jpg) ![](https://i.imgur.com/bX4A4g1.jpg) ![](https://i.imgur.com/FAnkEBV.jpg) ### Exercise 9 - L_model_backwards ![](https://i.imgur.com/4n8L5Dw.jpg) ![](https://i.imgur.com/JlXRERn.jpg) ![](https://i.imgur.com/tAuPf9i.jpg) ![](https://i.imgur.com/VnFdp4u.jpg) ### Exercise 10 - update parameters ![](https://i.imgur.com/NHmpSyZ.jpg) ![](https://i.imgur.com/jAKliIj.jpg)