Mastering OpenCV 4 with Python

Handwritten digit recognition in Keras

In this example, we are going to see how to recognize handwritten digits using Keras. The mnist_keras_training.py script creates the model using a four-layer neural network, as demonstrated in the following code snippet:

def create_model():    """Create the model using Sequencial model"""    # Create a sequential model (a simple NN is created) adding a softmax activation at the end with 10 units:    model = Sequential()    model.add(Dense(units=128, activation="relu", input_shape=(784,)))    model.add(Dense(units=128, activation="relu"))    model.add(Dense(units=128, activation="relu"))    model.add(Dense(units=10, activation="softmax"))    # Compile the model using the loss function "categorical_crossentropy" and Stocastic ...