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PyTorch vs TensorFlow for Your Python Deep Learning Project

From these 2 frameworks I personally use TensorFlow. The two things I really like about TensorFlow – it’s completely open source and has excellent community support. TensorFlow has pre-written codes for most of the complex deep learning models you’ll come across, such as Recurrent Neural Networks and Convolutional Neural Networks. TensorFlow had a two year head start on PyTorch. TensorFlow 2.0 introduced many improvements that make the API more streamlined and brain friendly. It tightly integrated Keras as it’s front-end, high-level API. Keras can still be used with some other frameworks, but it generally makes sense to use it as part of TensorFlow. we can see a big trend among programmers, and developers flocking towards TensorFlow.

The popularity for TensorFlow is quite evident, with big names adopting TensorFlow for carrying out artificial intelligence tasks. Many popular companies such as NVIDIA, Twitter, Snapchat, Uber and more are using TensorFlow for all their major operations and research areas. TensorFlow is a low-level library which provides more flexibility. Thus we can define your own functionalities or services for your models. TensorFlow provides an accessible and readable syntax which is essential for making these programming resources easier to use. While training a complex neural network model, the computations we use in TensorFlow can be very confusing. TensorBoard makes it very easy to understand and debug our TensorFlow programs in the form of visualizations. It allows us to easily inspect and understand our TensorFlow runs and graphs.

Customize the Django Admin With Python

By adding these line we customize Django admin Interface.
We have to add these lines in the urls.py of the home(app which you made as Django project)

admin.site.site_header = ‘Developer Ravinder’
admin.site.site_title = ‘Welcome To Ravinder\’s Dashboard’
admin.site.index_title = ‘Welcome To Ravinder\’s portal’

There are many more customization on Django admin interface.

Write a Python program to check whether a file exists.

import os
a = input('Enter path with where to find: ')
b = input('Enter File name: ')
a = os.listdir(a)
if b in a:
    print('File Exists')
else:
    print('not Exists')

Summary :

In this article we saw Following python Topic

A) PyTorch Vs TensorFlow For Your Python Deep Learning Project

B) Customize The Django Admin With Python

C) A Python Program To Check Whether A File Exists

So about this section you have any query then free to ask me

Name of Intern who share this Task : Ravinder Aggrawal

Github Profile = https://github.com/Ravinder-aggLinkdin = linkedin.com/in/ravinder-aggrawal-78a423174