import numpy as np from typing import List, Dict def initialize$\_$parameters$\_$random$($layers$\_$dims: List$[$int$])->$ Dict$[$str$,$ np$.$ndarray$]$: $"""$ Arguments: layers$\_$dims$--$ python array $($list$)$ containing the size of each layer. Returns: parameters$--$ python dictionary containing your parameters $"$W$1","$b$1",...,"$WL$","$bL$"$: W$1--$ weight matrix of shape $($layers$\_$dims$[1],$ layers$\_$dims$[0])$ b$1--$ bias vector of shape $($layers$\_$dims$[1],1)...$ WL$--$ weight matrix of shape $($layers$\_$dims$[$L$],$ layers$\_$dims$[$L$-1])$ bL$--$ bias vector of shape $($layers$\_$dims$[$L$],1)$ Example: layers$\_$dims $=[5,4,3]$ parameters $=$ initialize$\_$parameters$\_$random$($layers$\_$dims$)$ print$($parameters$)"""$ np$.$random.seed$(3)$ # Ensure reproducibility parameters $=\{\}$ L $=$len$($layers$\_$dims$)$ # Total number of layers for l in range$(1,$ L$)$: # Initialize weights with small random values parameters$[\text{'}$W$\text{'}+$ str$($l$)]=$ np$.$random.randn$($layers$\_$dims$[$l$],$ layers$\_$dims$[$l$-1])*0\mathrm{.}01$ # Initialize biases to zeros parameters$[\text{'}$b$\text{'}+$ str$($l$)]=$ np$.$zeros$(($layers$\_$dims$[$l$],1))$ return parameters parameters $=$ initialize$\_$parameters$\_$random$([3,2,1])$ print$("$W$1="+$ str$($parameters$["$W$1"]))$ print$("$b$1="+$ str$($parameters$["$b$1"]))$ print$("$W$2="+$ str$($parameters$["$W$2"]))$ print$("$b$2="+$ str$($parameters$["$b$2"]))$ initialize$\_$parameters$\_$random$\_$test$($initialize$\_$parameters$\_$random$)$ W$1=[[0\mathrm{.}017886280\mathrm{.}00436510\mathrm{.}00096497][-0\mathrm{.}01863493-0\mathrm{.}00277388-0\mathrm{.}00354759]]$ b$1=[[0.][0.]]$ W$2=[[-0\mathrm{.}00082741-0\mathrm{.}00627001]]$ b$2=[[0.]]2$ Tests passed $1$ Tests failed$--------------------------------------------------------------------------$ AssertionError Traceback $($most recent call last$)$ in $4$ print$("$W$2="+$ str$($parameters$["$W$2"]))5$ print$("$b$2="+$ str$($parameters$["$b$2"]))---->6$ initialize$\_$parameters$\_$random$\_$test$($initialize$\_$parameters$\_$random$)$ ~$/$work$/$release$/$W$1$A$1/$public$\_$tests.py in initialize$\_$parameters$\_$random$\_$test$($target$)65]66--->67$ multiple$\_$test$($test$\_$cases, target$)6869$ def initialize$\_$parameters$\_$he$\_$test$($target$)$: $/$opt$/$conda$/$lib$/$python$3\mathrm{.}7/$site$-$packages$/$dlai$\_$tools$/$testing$\_$utils.py in multiple$\_$test$($test$\_$cases, target$)162$ print$(\text{'}\backslash 033[91$m$\text{'},$ len$($test$\_$cases$)-$ success, $"$ Tests failed"$)163-->164$ raise AssertionError$($ "Not all tests were passed for $\{\}.$ Check your equations and avoid using global variables inside the function.".format$($target$.\_\_$name$\_\_))$ AssertionError: Not all tests were passed for initialize$\_$parameters$\_$random. Check your equations and avoid using global variables inside the function