On this page
tf.keras.backend.set_floatx
Sets the default float type.
tf.keras.backend.set_floatx(
    value
)
Note: It is not recommended to set this to float16 for training, as this will likely cause numeric stability issues. Instead, mixed precision, which is using a mix of float16 and float32, can be used by calling tf.keras.mixed_precision.experimental.set_policy('mixed_float16'). See the mixed precision guide for details.
  
  | Arguments | |
|---|---|
| value | String; 'float16','float32', or'float64'. | 
Example:
tf.keras.backend.floatx()
'float32'
tf.keras.backend.set_floatx('float64')
tf.keras.backend.floatx()
'float64'
tf.keras.backend.set_floatx('float32')
| Raises | |
|---|---|
| ValueError | In case of invalid value. | 
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
 https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/keras/backend/set_floatx