Can I train a neutral network to detect a fingerprint [closed]

I have been using tensorflow For neutral network

• Hello. Welcome to AI SE. This question is really unclear and you need to contextualise your problem. Have you searched on the web before asking the question? Have you found anything? What do you mean by "fingerprint"? What do you want to achieve exactly? Please, take a look at ai.stackexchange.com/help/on-topic to know more about our site and the type of question we accept here. – nbro Sep 27 at 13:49

Kintu, TF - have built value for fingerprint:

the fingerprint method is farmhash64

FarmHash64 provides a portable 64-bit hash function for strings (byte array). The function mix the input bits thoroughly but is not suitable for cryptography.

FarmHash64 by default, which provides a consistent hashed output

example:

# Importing the library
import tensorflow as tf

# Initializing the input
data = tf.constant([[1, 2], [ 3, 4]])
method = 'farmhash64'

# Calculating result
res = tf.fingerprint(data, method)

# Printing the result
print('res: ', res)


While the algorithm and the process itself are more comprehensive, I recommend SVM algorithm for classification

Sources: