You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

1006 B

Exercise 4 Forward propagation

The goal of this exerice is to compute the log loss on the output of the forward propagation. The data used is the tiny data set below.

name math chemistry exam_success
Bob 12 15 1
Eli 10 9 0
Tom 18 18 1
Ryan 13 14 1

The goal if the network is to predict the success at the exam given math and chemistry grades. The inputs are math and chemistry and the target is exam_sucess.

  1. Compute and return the output of the neural network for each of the students. Here are the weights and biases of the neural network:

    neuron_h1 = Neuron(0.05, 0.001, 0)
    neuron_h2 = Neuron(0.02, 0.003, 0)
    neuron_o1 = Neuron(2,0,0)
    
  2. Compute the logloss for the data given the output of the neural network with the 4 students.