Software Alternatives & Reviews

Symfony VS Keras

Compare Symfony VS Keras and see what are their differences

Symfony logo Symfony

A PHP full-stack web framework

Keras logo Keras

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
  • Symfony Landing page
    Landing page //
    2023-10-21
  • Keras Landing page
    Landing page //
    2023-10-16

Symfony videos

Symfony IOL Video Review

More videos:

  • Review - Symfony vs Panoptix. Which is the BEST Lens for Cataract and Laser Lens Replacement Surgery?
  • Tutorial - [1/9] - Beginners Symfony 4 Tutorial - Getting Started With Symfony 4

Keras videos

3. Deep Learning Tutorial (Tensorflow2.0, Keras & Python) - Movie Review Classification

More videos:

  • Review - Movie Review Classifier in Keras | Deep Learning | Binary Classifier
  • Review - EKOR KERAS!! Review and Bike Check DARTMOOR HORNET 2018 // MTB Indonesia

Category Popularity

0-100% (relative to Symfony and Keras)
Development Tools
100 100%
0% 0
Data Science And Machine Learning
Javascript UI Libraries
100 100%
0% 0
Data Science Tools
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 Symfony and Keras

Symfony Reviews

Top 5 Laravel Alternatives
Due to its C-based framework extension, Phalcon is among the most efficient and rapid PHP frameworks available. However, Laravel is a slower framework since it relies heavily on PHP and Symfony. The performance and speed of Phalcon are superior to those of Laravel Alternatives.
10 Ruby on Rails Alternatives For Web Development in 2022
Unlike Laravel, Symfony provides developers with full control over the configuration. With Symfony, programmers have to customize everything from the directory structure to the foreign libraries by themselves. For MVP projects a necessity to set up everything from the scratch is a disadvantage; for the enterprise application, absolute control is a benefit. Extra time spent...
The Most Popular PHP Frameworks to Use in 2021
The best way to interact with your databases is via the Doctrine ORM. Symfony uses data mappers to map objects to the database. This keeps your object model and the database schema separate, meaning that if you change a database column you don’t need to make many changes in your codebase.
Source: kinsta.com
Top 9 PHP Frameworks For Web Development In 2021
PHP Benchmarks rank Symfony at number 3 in the list of PHP frameworks for web development. With 24.5k+ GitHub stars, Symfony is not just a PHP web development framework but also provides a set of 50 stand-alone reusable PHP components for faster web app development. Using Symfony, you can develop web applications, microservices, and APIs too. With commercial support from...
The 10 Best PHP Frameworks To Use in 2021
Originally, Symfony was inspired by the Spring Framework, a Java micro framework. That said, Symfony shares close similarities with Lavarel, although it is a bit more complex to get started.
Source: trio.dev

Keras Reviews

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
15 data science tools to consider using in 2021
Keras is a programming interface that enables data scientists to more easily access and use the TensorFlow machine learning platform. It's an open source deep learning API and framework written in Python that runs on top of TensorFlow and is now integrated into that platform. Keras previously supported multiple back ends but was tied exclusively to TensorFlow starting with...

Social recommendations and mentions

Based on our record, Keras seems to be more popular. It has been mentiond 31 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.

Symfony mentions (0)

We have not tracked any mentions of Symfony yet. Tracking of Symfony recommendations started around Mar 2021.

Keras mentions (31)

  • My Favorite DevTools to Build AI/ML Applications!
    As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / 11 days ago
  • Getting Started with Gemma Models
    After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 20 days ago
  • How popular are libraries in each technology
    Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / 11 months ago
  • Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!
    I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: 12 months ago
  • How to query pandas DataFrames with SQL
    Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more. - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing Symfony and Keras, you can also consider the following products

jQuery - The Write Less, Do More, JavaScript Library.

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.

React Native - A framework for building native apps with React

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

Babel - Babel is a compiler for writing next generation JavaScript.

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