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TensorFlow VS Exercism

Compare TensorFlow VS Exercism and see what are their differences

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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.

Exercism logo Exercism

Download and solve practice problems in over 30 different languages.
  • TensorFlow Landing page
    Landing page //
    2023-06-19
  • Exercism Landing page
    Landing page //
    2023-06-28

TensorFlow features and specs

  • Comprehensive Ecosystem
    TensorFlow offers a complete ecosystem for end-to-end machine learning, covering everything from data preprocessing, model building, training, and deployment to production.
  • Community and Support
    TensorFlow boasts a large and active community, as well as extensive documentation and tutorials, making it easier for beginners to learn and experts to get help.
  • Flexibility
    TensorFlow supports a wide range of platforms such as CPUs, GPUs, TPUs, mobile devices, and embedded systems, providing flexibility depending on the user's needs.
  • Integrations
    TensorFlow integrates well with other Google products and services, including Google Cloud, facilitating seamless deployment and scaling.
  • Versatility
    TensorFlow can be used for a wide range of applications from simple neural networks to more complex projects, including deep learning and artificial intelligence research.

Possible disadvantages of TensorFlow

  • Complexity
    TensorFlow can be challenging to learn due to its complexity and the steep learning curve, particularly for beginners.
  • Performance Overhead
    Although TensorFlow is powerful, it can sometimes exhibit performance overhead compared to other, lighter frameworks, leading to longer training times.
  • Verbose Syntax
    The code in TensorFlow tends to be more verbose and less intuitive, which can make writing and debugging code more cumbersome relative to other frameworks like PyTorch.
  • Compatibility Issues
    Frequent updates and changes can lead to compatibility issues, requiring significant effort to keep libraries and dependencies up to date.
  • Mobile Deployment
    While TensorFlow supports mobile deployment, it is less optimized for mobile platforms compared to some other specialized frameworks, leading to potential performance drawbacks.

Exercism features and specs

  • Free Access
    Exercism provides free access to a wide range of coding exercises and learning resources, making it accessible to everyone regardless of their financial situation.
  • Mentorship
    Offers personalized mentorship from experienced developers who can provide feedback and guidance on your code submissions.
  • Wide Variety of Languages
    Supports numerous programming languages, which allows users to learn and practice coding in multiple languages.
  • Structured Learning Tracks
    Organizes exercises into structured tracks, guiding learners through progressively challenging problems in a logical order.
  • Community Support
    Has an active community forum where users can discuss problems, share insights, and ask for help.
  • Open Source Contributions
    Encourages contributions to the platform itself, offering an opportunity for users to give back and improve the resources available to others.
  • Focus on Clean Code
    Emphasizes writing clean, well-documented code, which is beneficial for developing best practices.

Possible disadvantages of Exercism

  • Variable Mentorship Quality
    The quality of mentorship can vary, as it depends on the availability and expertise of volunteer mentors.
  • Learning Curve
    There can be a steep learning curve for beginners who may find some exercises too challenging without sufficient initial guidance.
  • Limited Interactivity
    Exercises are primarily text-based without interactive or visual learning aids, which might be less engaging for some users.
  • Dependence on Volunteers
    The platform relies heavily on volunteer mentors, which can lead to delays in getting feedback and may affect the consistency of support.
  • Interface Complexity
    Some users find the interface and workflow somewhat complex and unintuitive, particularly for those new to the platform.
  • No Real-Time Collaboration
    Lacks real-time collaboration features, meaning users cannot code together or get instant feedback.
  • Focus on Individual Learning
    The platform predominantly focuses on individual learning rather than collaborative projects, which can be a downside for those looking to develop team-working skills.

TensorFlow videos

+ Add

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)

Exercism videos

+ Add

Learn with Exercism.io

More videos:

  • Review - JavaScript Exercise | Learn JavaScript with Exercism | #0 Setup
  • Review - exercism.io 01 hello-world

Category Popularity

0-100% (relative to TensorFlow and Exercism)

TensorFlow

Exercism

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Online Learning
0 0%
Online Learning
100% 100
AI
100 100%
AI
0% 0
Online Education
0 0%
Online Education
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 TensorFlow and Exercism

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.
Source: www.labellerr.com
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...
Source: www.assemblyai.com

Exercism Reviews

LeetCode Alternatives: Top platforms for coding practice
What are LeetCode and LeetCode alternatives good for?LeetCode💡Interested in leveling up your career? Apply to the Formation Fellowship today!ApplyHackerRankCodeSignalAlgoExpertCodewarsGeeksforGeeksEdabitExercismTopCoderShould you use LeetCode for advanced interview prep?Get holistic interview prep with Formation
Source: formation.dev
8 Best LeetCode Alternatives and Similar Platforms
Exercism is the alternative to LeetCode learning platform, with over 4000 activities in up to 52 popular programming languages. It is very different from other comparable programming websites in that it emphasizes solo practice and also mentor-based learning. The greatest part about this software is to have an active developer community that assists novices all around the...
Source: www.regendus.com
The 10 Most Popular Coding Challenge Websites [Updated for 2021]
Exercism is a coding challenge website that offers 3100+ challenges spanning 52 different programming languages. After picking a language that you'd like to master, you tackle the coding challenges right on your machine (Exercism has their own command line interface that you can download from GitHub).
Source: www.freecodecamp.org
Top 25 websites for coding challenge and competition [Updated for 2021]
Best qualities: Exercism starts off with language tracks that allow users to choose their preferred languages. Moreover, there are human mentors who will check your code and help you improve as you progress. This makes the platform perfect for total beginners who want to deepen their understanding of a new programming language.
Source: towardsdatascience.com

Social recommendations and mentions

Based on our record, Exercism seems to be a lot more popular than TensorFlow. While we know about 314 links to Exercism, we've tracked only 7 mentions of TensorFlow. 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.

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 2 years 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 3 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: almost 3 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 3 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 3 years ago
View more

Exercism mentions (314)

  • Ask HN: What book should my CS1 students read?
    (concepts/topics) : The New Turing Omnibus, 66 Excursions in Computer Science[1] Code Complete [2] Debugging The 9 Indispensable Rules of Finding Even the Most Elusive Software and Hardware Problems [3] Code: The Hidden Language of Computer Hardware and Software [4] -- backround stories on how 'computer' things came to be -------- [1] : https://www.amazon.com/New-Turing-Omnibus-Sixty-Six-Excursions/dp/0805071660... - Source: Hacker News / 18 days ago
  • Build Code-RAGent, an agent for your codebase
    The only thing left to do then was to build something that could showcase the power of code ingestion within a vector database, and it immediately clicked in my mind: "Why don't I ingest my entire codebase of solved Go exercises from Exercism?" That's how I created Code-RAGent, your friendly coding assistant based on your personal codebases and grounded in web search. It is built on top of GPT-4.1, powered by... - Source: dev.to / 24 days ago
  • I Finished The Odin Project's Foundation Track
    This is where sources like freeCodeCamp or Scrimba absolutely shine. With Odin, you read an article and may follow along with examples. But it’s unlikely you develop the muscle memory to implement the concepts on your own. Odin does offer some in-house exercises and often assigns external ones too. Still, I believe it’s not enough. You don’t lift weight only 5 times and say I’ve got this! You keep lifting until... - Source: dev.to / 3 months ago
  • Exercism 48in24 Recap
    If I get the time I would very much like to share my notes on adopting the various languages and perhaps even my solutions to some of the exercises. I have some reservations to doing the latter, since it does spoil the fun of solving the exercises for you. I have made some basic tooling which could be of interest/inspiration to you if you are in on Exercism. - Source: dev.to / 3 months ago
  • Ask HN: Platform for senior devs to learn other programming languages?
    I think you are looking for Exercism: https://exercism.org/ Great website! - Source: Hacker News / 6 months ago
View more

What are some alternatives?

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

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

Codecademy - Learn the technical skills you need for the job you want. As leaders in online education and learning to code, we’ve taught over 45 million people using a tested curriculum and an interactive learning environment.

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

Free Code Camp - Learn to code by helping nonprofits.

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

Treehouse - Treehouse is an award-winning online platform that teaches people how to code.

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