Software Alternatives, Accelerators & Startups

Spring VS Keras

Compare Spring VS Keras and see what are their differences

Spring logo Spring

The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications

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.
  • Spring Landing page
    Landing page //
    2023-05-08
  • Keras Landing page
    Landing page //
    2023-10-16

Spring videos

Spring (2015) - Movie Review

More videos:

  • Review - Horror Review Spring (2014) *SPOILER FREE*
  • Review - Spring Movie Review (Horror Movie "Spring")

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 Spring and Keras)
Marketing Videos
100 100%
0% 0
Data Science And Machine Learning
Conversions
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 Spring and Keras

Spring Reviews

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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, Spring should be more popular than Keras. It has been mentiond 81 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.

Spring mentions (81)

  • A tour of CLI tools for installing Java and creating projects
    Two of the most famous Java server frameworks, namely Spring and Quarkus, provide CLIs for improving DX. - Source: dev.to / 7 months ago
  • What backend frameworks are you using for your React app?
    Being more specific, our projects are being written with Spring framework. Source: 6 months ago
  • Query materialized views with Java, Spring, and streaming database
    Order delivery performance is a crucial metric for any business that sells products online. It reflects the efficiency and effectiveness of the order fulfillment process and directly impacts customer satisfaction. To analyze order delivery performance, businesses need to track key performance indicators (KPIs) such as delivery time, order accuracy, and delivery cost. In the scope of this article, we will create a... - Source: dev.to / 12 months ago
  • Spring Framework
    Apart from the actual spring.io documentation which is pretty good, there's Baeldung which is my personal go-to for anything Spring Boot related. Source: 11 months ago
  • New to spring boot
    Then there are many youtube videos, but I recommend that after you learn from the above, start with simple tutorials on the official spring.io site. Build something simple like a form which the user submits. Then enhance it by connecting to a database and insert the user submitted values into the database. Go step by step. You will learn Spring very quickly. Source: about 1 year ago
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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 / about 1 month 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 / about 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
  • 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 Spring and Keras, you can also consider the following products

Sniply - Sniply is a content marketing tool providing social media conversion.

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.

Animoto - Animoto turns your photos and video clips into professional video slideshows in minutes. Fast, free and shockingly simple - we make awesome easy.

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

DeepLink - Deeplink is a deep linking platform for native apps, enabling app developers to link to specific pages inside their apps.

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