Keras data types (dtypes) are the same as TensorFlow Python data types, as shown in the following table:
| Python type | Description |
|---|---|
| tf.float16 | 16-bit floating point |
| tf.float32 | 32-bit floating point |
| tf.float64 | 64-bit floating point |
| tf.int8 | 8-bit signed integer |
| tf.int16 | 16-bit signed integer |
| tf.int32 | 32-bit signed integer |
| tf.int64 | 64-bit signed integer |
| tf.uint8 | 8-bit unsigned integer |
| tf.string | Variable-length byte arrays |
| tf.bool | Boolean |
| tf.complex64 | Complex number made of two 32-bit floating points—one real and imaginary part |
| tf.complex128 | Complex number made of two 64-bit floating points—one real and one imaginary part |
| tf.qint8 | 8-bit signed integer used in quantized Ops |
| tf.qint32 | 32-bit signed integer used in quantized Ops |
| tf.quint8 | 8-bit unsigned integer used in quantized Ops |
