COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
Dense
|
|
|
Flatten
|
|
|
Sequential
|
|
|
Adam and Flatten
|
Detailed explanation-1: -What is keras flatten? It involves a flattening process which is mostly used as the last phase of CNN (Convolution Neural Network) as a classifier. This is a dense layer that is just considered an (ANN) Artificial Neural Network.
Detailed explanation-2: -Flatten class Flattens the input. Does not affect the batch size. Note: If inputs are shaped (batch, ) without a feature axis, then flattening adds an extra channel dimension and output shape is (batch, 1) . data format: A string, one of channels last (default) or channels first .
Detailed explanation-3: -Flatten layer is used to make the multidimensional input one-dimensional, commonly used in the transition from the convolution layer to the full connected layer. Constructor. Based on whether TensorSpace Model load a pre-trained model before initialization, configure Layer in different ways.