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2.2 KiB
2.2 KiB
- This question is validated if the output of
model.get_config()['layers']matches the fieldsbatch_input_shape,unitsandactivation.
[{'class_name': 'InputLayer',
'config': {'batch_input_shape': (None, 30),
'dtype': 'float32',
'sparse': False,
'ragged': False,
'name': 'dense_134_input'}},
{'class_name': 'Dense',
'config': {'name': 'dense_134',
'trainable': True,
'batch_input_shape': (None, 30),
'dtype': 'float32',
'units': 10,
'activation': 'sigmoid',
'use_bias': True,
'kernel_initializer': {'class_name': 'GlorotUniform',
'config': {'seed': None}},
'bias_initializer': {'class_name': 'Zeros', 'config': {}},
'kernel_regularizer': None,
'bias_regularizer': None,
'activity_regularizer': None,
'kernel_constraint': None,
'bias_constraint': None}},
{'class_name': 'Dense',
'config': {'name': 'dense_135',
'trainable': True,
'dtype': 'float32',
'units': 5,
'activation': 'sigmoid',
'use_bias': True,
'kernel_initializer': {'class_name': 'GlorotUniform',
'config': {'seed': None}},
'bias_initializer': {'class_name': 'Zeros', 'config': {}},
'kernel_regularizer': None,
'bias_regularizer': None,
'activity_regularizer': None,
'kernel_constraint': None,
'bias_constraint': None}},
{'class_name': 'Dense',
'config': {'name': 'dense_136',
'trainable': True,
'dtype': 'float32',
'units': 1,
'activation': 'sigmoid',
'use_bias': True,
'kernel_initializer': {'class_name': 'GlorotUniform',
'config': {'seed': None}},
'bias_initializer': {'class_name': 'Zeros', 'config': {}},
'kernel_regularizer': None,
'bias_regularizer': None,
'activity_regularizer': None,
'kernel_constraint': None,
'bias_constraint': None}}]
You should notice that the neural network is struggling to learn. By luck the initialization of the weights might have led to an accuracy close of 90%. But when I trained the neural network, with batch_size=300 on the data here is the ouptput of the last epoch (50):
Epoch 50/50 2/2 [==============================] - 0s 1ms/step - loss: 0.6559 - accuracy: 0.6274
- This solution is validated if the the accuracy at epoch 50 is higher than 95%.