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Keras VS MIWIFI by Xiaomi

Compare Keras VS MIWIFI by Xiaomi and see what are their differences

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.

MIWIFI by Xiaomi logo MIWIFI by Xiaomi

Wifi router beta with a twist: you build it yourself
  • Keras Landing page
    Landing page //
    2023-10-16
  • MIWIFI by Xiaomi Landing page
    Landing page //
    2019-03-07

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

MIWIFI by Xiaomi videos

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Category Popularity

0-100% (relative to Keras and MIWIFI by Xiaomi)
Data Science And Machine Learning
Operating Systems
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100% 100
Data Science Tools
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0% 0
Home
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User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Keras and MIWIFI by Xiaomi

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...

MIWIFI by Xiaomi Reviews

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Social recommendations and mentions

Based on our record, Keras seems to be a lot more popular than MIWIFI by Xiaomi. While we know about 32 links to Keras, we've tracked only 2 mentions of MIWIFI by Xiaomi. 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.

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 / 24 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 / 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 / 3 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 / about 1 year 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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MIWIFI by Xiaomi mentions (2)

  • Bricked Xiaomi Mi Router 4A 100Mb, guides won't work
    I followed a few different guides, tried different versions of firmware (From the miwifi.com page, from the miuirom.org page, Chinese 2.18.28, Chinese 2.18.51, the one that comes with the hoddy guide, even the gigabit edition versions (global and Chinese) and the openwrt software and some others I can't remember) and nothing works. I can get the firmware onto the router (with either BootP + TFTpd or the... Source: about 2 years ago
  • Access barred!
    Oh Try opening http://miwifi.com/ Http without s. Source: about 3 years ago

What are some alternatives?

When comparing Keras and MIWIFI by Xiaomi, you can also consider the following products

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.

Helium Hotspot - Powering the world's first peer-to-peer wireless network

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

Velop - Whole-home mesh Wi-Fi by Linksys

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

AirPort Extreme - AirPort Extreme is a straightforward router that's great for users who don't need any additional customization options.