When creating the input layer, the hidden layer and the output layer in the following:
there’s no input data provided, but then weights and biases are generated here:
How is this possible without input data?
When creating the input layer, the hidden layer and the output layer in the following:
there’s no input data provided, but then weights and biases are generated here:
How is this possible without input data?
When you create a layer, TensorFlow automatically assigns the weights some initial random values.