Keras Deep Learning library helps to develop the neural network models fast and easy. There are two ways to build a model in Keras — Sequential and Functional. Let me explain.

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Sequential API

Sequential API allows you to create models layer-by-layer by stacking them. It is limited in that it does not allow you to create models that share layers or have multiple inputs or outputs.

Example Code:

from tensorflow.keras import Sequential, Model
from tensorflow.keras import layers

seq_model = Sequential()
seq_model.add(layers.Dense(4, input_shape=(10,2)))
seq_model.add(layers.Dense(4))
seq_model.add(layers.Dense(1))
seq_model.summary()

#keras #neural-networks #deep-learning #machine-learning #tensorflow