How to convert numpy arrays to standard TensorFlow format?

Question

I have two numpy arrays:

• One that contains captcha images
• Another that contains the corresponding labels (in one-hot vector format)

Answer 1

You can use tf.convert_to_tensor():

import tensorflow as tf
import numpy as np

data = [[1,2,3],[4,5,6]]
data_np = np.asarray(data, np.float32)

data_tf = tf.convert_to_tensor(data_np, np.float32)

sess = tf.InteractiveSession()  
print(data_tf.eval())

sess.close()

Here's a link to the documentation for this method:

https://www.tensorflow.org/api_docs/python/tf/convert_to_tensor