Artificial Intelligence, Artificial Neural Network, Computer Science, Linear Regression, Python.
each parameter in the backpropagation with tf.GradientTape() as tape: #Execute the forward pass predicted = forward_pass(x_training, model) #Execute the loss function, which must be minimized during optimization loss = cross_entropy(predicted, y_training) #Calculates the model's accuracy accuracy =