Remove Numbers-9552
Sat 17 May 2025
title: "Remove Numbers" author: "Raja CSP Raman" date: 2019-04-20 description: "-" type: technical_note draft: false
content = '15. TFRecord in Tensorflow'
content
'15. TFRecord in Tensorflow'
import re
result = re.sub(r'\d+\.', '', content)
result.strip()
'TFRecord in Tensorflow'
content2 = """1. Cross Entropy Loss Derivation
2. How to split a tensorflow model into two parts?
3. RNN Text Generation with Eager Execution
4. Softmax activation in Tensor"""
content2
'1. Cross Entropy Loss Derivation\n\n2. How to split a tensorflow model into two parts?\n\n3. RNN Text Generation with Eager Execution\n\n4. Softmax activation in Tensor'
result2 = re.sub(r'\d+\.', '', content2)
result2.strip()
'Cross Entropy Loss Derivation\n\n How to split a tensorflow model into two parts?\n\n RNN Text Generation with Eager Execution\n\n Softmax activation in Tensor'
for c in result2.strip().split('\n'):
print(c.strip())
Cross Entropy Loss Derivation
How to split a tensorflow model into two parts?
RNN Text Generation with Eager Execution
Softmax activation in Tensor
Score: 10
Category: regex