Software Alternatives, Accelerators & Startups

Chef VS Keras

Compare Chef VS Keras and see what are their differences

Chef logo Chef

Automation for all of your technology. Overcome the complexity and rapidly ship your infrastructure and apps anywhere with automation.

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.
  • Chef Landing page
    Landing page //
    2023-10-19
  • Keras Landing page
    Landing page //
    2023-10-16

Chef videos

Chef - Movie Review

More videos:

  • Review - Pro Chef Breaks Down Cooking Scenes from Movies | GQ
  • Review - Pro Chefs Review Restaurant Scenes In Movies | Test Kitchen Talks | Bon Appétit

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 Chef and Keras)
DevOps Tools
100 100%
0% 0
Data Science And Machine Learning
Continuous Integration
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 Chef and Keras

Chef Reviews

5 Best DevSecOps Tools in 2023
There are multiple providers for Infrastructure as Code such as AWS CloudFormation, RedHat Ansible, HashiCorp Terraform, Puppet, Chef, and others. It is advised to research each to determine what is best for any given situation since each has pros and cons. Some of these also are not completely free while others are. There are also some that are specific to a particular...
Best 8 Ansible Alternatives & equivalent in 2022
Chef is a useful DevOps tool for achieving speed, scale, and consistency. It is a Cloud based system. It can be used to ease out complex tasks and perform automation.
Source: www.guru99.com
Top 5 Ansible Alternatives in 2022: Server Automation Solutions by Alexander Fashakin on the 19th Aug 2021 facebook Linked In Twitter
Chef makes it easier to manage and configure your servers. With Chef, you can integrate services such as Amazon’s EC2, Microsoft Azure, or Google Cloud Platform to automatically provision and configure new machines. It enables all components of an IT infrastructure to be connected and facilitates adding new elements without manual intervention.
Ansible vs Chef: What’s the Difference?
So, which of these are better? In reality, it depends on what your organization needs. Chef has been around longer and is great for handling extremely complex tasks. Ansible is easier to install and use, and therefore is more limited in how difficult the tasks can be. It’s just a matter of understanding what’s important for your business, and that goes beyond a simply...
Chef vs Puppet vs Ansible
Chef follows the cue of Puppet in this section of the Chef vs Puppet vs ansible debate. How? The master-slave architecture of Chef implies running the Chef server on the master machine and running the Chef clients as agents on different client machines. Apart from these similarities with Puppet, Chef also has an additional component in its architecture, the workstation. The...

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 32 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.

Chef mentions (0)

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

Keras mentions (32)

  • Using Google Magika to build an AI-powered file type detector
    The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 4 days ago
  • 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 / about 2 months 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 / 2 months 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 / 12 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: about 1 year ago
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What are some alternatives?

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

Ansible - Radically simple configuration-management, application deployment, task-execution, and multi-node orchestration engine

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.

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

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

Puppet Enterprise - Get started with Puppet Enterprise, or upgrade or expand.

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