how to convert numpy array to keras tensor
In Tensorflow it can be done the following way:
import tensorflow.keras.backend as Kimport numpy as npa = np.array([1,2,3])b = K.constant(a)print(b)# <tf.Tensor 'Const_1:0' shape=(3,) dtype=float32>print(K.eval(b))# array([1., 2., 3.], dtype=float32)In raw keras it should be done replacing import tensorflow.keras.backend as K with from keras import backend as K.
To convert numpy array to tensor,
import tensor as tf#Considering y variable holds numpy arrayy_tensor = tf.convert_to_tensor(y, dtype=tf.int64) #You can use any of the available datatypes that suits best - https://www.tensorflow.org/api_docs/python/tf/dtypes/DType