- For large models or limited hardware, mixed precision training can improve performance by using 16-bit floats.pythonCopy code
from tensorflow.keras.mixed_precision import experimental as mixed_precision policy = mixed_precision.Policy('mixed_float16') mixed_precision.set_policy(policy) - This helps leverage the speed and memory benefits of reduced precision without losing much accuracy.
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