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MXNet VS TFlearn

Compare MXNet VS TFlearn and see what are their differences

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MXNet logo MXNet

MXNet is a deep learning framework.

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
  • MXNet Landing page
    Landing page //
    2022-07-25
Not present

MXNet videos

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Apache MXNet 2.0: Bridging Deep Learning and Machine Learning

More videos:

  • Review - MXNet Introduction: MXNet Vancouver Meetup
  • Review - Extending Apache MXNet for new features and performance

TFlearn videos

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Face Recognition using Deep Learning | Convolutional-Neural-Network | TensorFlow | TfLearn

Category Popularity

0-100% (relative to MXNet and TFlearn)

MXNet

TFlearn

Data Science And Machine Learning
31 31%
Data Science And Machine Learning
69% 69
OCR
0 0%
OCR
100% 100
Machine Learning
22 22%
Machine Learning
78% 78
Business & Commerce
100 100%
Business & Commerce
0% 0

User comments

Share your experience with using MXNet and TFlearn. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, TFlearn seems to be more popular. It has been mentiond 2 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.

MXNet mentions (0)

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

TFlearn mentions (2)

  • Beginner Friendly Resources to Master Artificial Intelligence and Machine Learning with Python (2022)
    TFLearn – Deep learning library featuring a higher-level API for TensorFlow. - Source: dev.to / over 1 year ago
  • Base ball
    Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBI’s, and walk’s are all taken into account and passed through layers. There’s no need to reinvent the wheel here, there's a multitude of libraries that enable a coder to implement machine learning theories efficiently. In this case we will be using a library called... - Source: dev.to / about 3 years ago

What are some alternatives?

When comparing MXNet and TFlearn, 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.

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

Open Text Magellan - OpenText Magellan - the power of AI in a pre-wired platform that augments decision making and accelerates your business. Learn more.

Clarifai - The World's AI

Kira - Gain visibility into contract repositories, accelerate and improve the accuracy of contract review, mitigate risk of errors, win new business, and improve the value you provide to your clients.

DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.

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