/Python/Sparse categorical cross entropy python

Sparse categorical cross entropy python

# example
model = Sequential([
    Dense(16, input_shape=(1,), activation='relu'), # the relu activation takes the max between 0 and x
    Dense(32, activation='relu'),
    Dense(2, activation='sigmoid'), # the sigmoid activation convert the number into number between 0 to 1
])

# the loss function is the sparse categorical crossentropy
model.compile(Adam(lr=0.001), loss='sparse_categorical_crossentropy', metrics=['accuracyt'])

Similar codes

0 vote126 views1 answer
ValueError: invalid PNG header
Python
0 vote179 views2 answers
Remove rows if not matching with value in df
Python
2 votes123 views1 answer
Pip install on different version of python
Python
0 vote147 views2 answers
Howe to print all values and keysin d
Python
4 votes125 views1 answer
Colorcodes Discord.py
Python
1 vote140 views1 answer
Build spacy custom ner model stackoverflow
Python
9 votes127 views5 answers
Remove key from dictionary
Python
0 vote138 views1 answer
How to python string up
Python
0 vote140 views1 answer
Simulation?
Python
0 vote315 views2 answers
In python, i am pustin two star before paramerter what is that men
Python