Artificial Intelligence, Artificial Neural Network, Computer Science, Linear Regression, Python.
#Once training is complete returns the training object return history Take a look at the training loop; we now calculate our predictions and loss within a gradient tape. with tf.GradientTape() as tape: #Execute the forward pass predicted = forward_pass(x_training, model) #Execute the loss function,