Python

Search

keras model 2 outputs

inputs = Input(shape=(3,))
x = Dense(16, activation='relu')(inputs)
x = Dense(32, activation='relu')(x)
output1 = Dense(1)(x)
output2 = Dense(3, activation='softmax')(x)

model = Model(inputs=inputs, outputs=[output1, output2])

model.compile(loss=['mae', 'sparse_categorical_crossentropy'], optimizer='adam')

history = model.fit(X, [Y, Z], epochs=10, batch_size=8)

Comment

PREVIOUS	NEXT

Code Example
Python :: phython to c converter
Python :: python comments
Python :: time zone
Python :: get maximum value index after groupby
Python :: create array with shape 0,2
Python :: database with python connection
Python :: Python Pandas - How to write in a specific column in an Excel Sheet
Python :: convert rgb image to binary in pillow
Python :: python file get text by regular expression
Python :: import file in another path python
Python :: convert image to binary python
Python :: how to remove text from plot in python
Python :: how to add values in python
Python :: django model functions
Python :: NumPy flipud Example
Python :: checking length of sets in python
Python :: how to run python code in python
Python :: char list python
Python :: python create null matrix
Python :: python qr scanner
Python :: linux python
Python :: python test coverage
Python :: how to get a list of all variables in memory python
Python :: tree implementation in python
Python :: python basic programs
Python :: tables in jinja template
Python :: pd.cut in pandas
Python :: loading bar
Python :: refer dataframe with row number and column name
Python :: django url with slug

Search

PYTHON

keras model 2 outputs

ADD CONTENT