Figure 1 shows a single layer neural network with three weight values (including bias). Please use gradient descent learning to derive weight updating rule for w2. Please define the objective function code example

Example 1: You will be provided a file path for input I, a file path for output O, a string S, and a string T. Read the contents of I, replacing each occurrence of S with T and write the resulting information to file O. You should replace O if it already exists.

# You will be provided a file path for input I, a file path for output O, a string S, and a string T.
# Read the contents of I, replacing each occurrence of S with T and write the resulting information to file O.
# You should replace O if it already exists.

file1 = open(I, 'r')
Icontent = file1.read()
editedData = Icontent.replace(S, T)
file2 = open(O, 'w')
file2.write(editedData)
file1.close()
file2.close()

Example 2: Android dependency 'androidx.core:core' has different version for the compile (1.0.2) and runtime (1.1.0) classpath. You should manually set the same version via DependencyResolution

I solved it by upgrading my gradle dependency in the android/build.gradle file: classpath 'com.android.tools.build:gradle:3.3.1' (I was previously on version 3.2.1)