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C++ VS TensorFlow

Compare C++ VS TensorFlow and see what are their differences

C++ logo C++

Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation

TensorFlow logo TensorFlow

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
  • C++ Landing page
    Landing page //
    2023-08-01

We recommend LibHunt C++ for discovery and comparisons of trending C++ projects.

  • TensorFlow Landing page
    Landing page //
    2023-06-19

C++ videos

C++ Programming | In One Video

More videos:

  • Review - C++ Programming
  • Tutorial - C++ Tutorial for Beginners - Full Course

TensorFlow videos

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

Category Popularity

0-100% (relative to C++ and TensorFlow)
Programming Language
100 100%
0% 0
Data Science And Machine Learning
OOP
100 100%
0% 0
AI
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare C++ and TensorFlow

C++ Reviews

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TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...

Social recommendations and mentions

Based on our record, C++ should be more popular than TensorFlow. It has been mentiond 56 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

C++ mentions (56)

  • Distributed Systems: Challenges, Experiences and Tips
    About 4 months ago (approximately the last time I wrote something here), I opted to embark on a graduate school journey at Stony Brook University, Computer Science (if you have a remote position — Technical Writer and/or Software Engineer position — at a non-USA company, don't hesitate to reach out). Was it the best decision to make considering less pay (if any), more theoretical undertakings and assumptions, and... - Source: dev.to / 6 months ago
  • Any opinion about tutorialspoint? Getting apparently wrong results
    Full of wrong and/or incomplete information. I prefer cplusplus.com when I need to look up some library details. Source: 12 months ago
  • Learning DSA from scratch : The Ultimate Guide
    For C++ I would suggest using cplusplus.com. Fantastic resource to use. Source: about 1 year ago
  • Things that i should know before gettting into Data Structures and Algorithms??
    C++ was far from my first language. I took Modula-2 and FORTRAN in school. I knew about pointers, linked lists, etc before writing my first line of C++. I think the best way to learn is just to work on projects that interest you. Get familiar with online resources. I like cplusplus.com and cppreference.com (can get a little verbose). I'm also a big fan of w3schools.com. They have a good C++ tutorial for beginners. Source: about 1 year ago
  • Help
    I second this. cplusplus.com will pop up on your searches, I just blocked it. Loaded with ads and slow, and almost always less thorough than cppreference. I found geeksforgeeks OK when learning algorithms - not so much the language itself though. Source: about 1 year ago
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TensorFlow mentions (7)

  • Creating Image Frames from Videos for Deep Learning Models
    Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 1 year ago
  • Need help with a Tensorflow function
    So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
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What are some alternatives?

When comparing C++ and TensorFlow, you can also consider the following products

Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Go Programming Language - Go, also called golang, is a programming language initially developed at Google in 2007 by Robert...

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

D (Programming Language) - D is a language with C-like syntax and static typing.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.