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MNN VS TFlearn

Compare MNN VS TFlearn and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

MNN logo MNN

Worlds Largest News Network

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
  • MNN Landing page
    Landing page //
    2020-04-01
Not present

MNN videos

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MNN Podcast Ep. 6- Oblivion Review

More videos:

  • Review - REACTION MNN Tập 5 | Dương Lâm, BB Trần, Puka, Jun Phạm, Duy Khánh, Minh Xù, Gin, L.Minh Thắng, Cano
  • Review - MNN Productions 2019 Year in Review

TFlearn videos

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

Category Popularity

0-100% (relative to MNN and TFlearn)

MNN

TFlearn

Data Science Tools
100 100%
Data Science Tools
0% 0
OCR
0 0%
OCR
100% 100
Data Science And Machine Learning
18 18%
Data Science And Machine Learning
82% 82
Developer Tools
100 100%
Developer Tools
0% 0

User comments

Share your experience with using MNN 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.

MNN mentions (0)

We have not tracked any mentions of MNN yet. Tracking of MNN 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 MNN and TFlearn, you can also consider the following products

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

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

CUDA - Select Target Platform Click on the green buttons that describe your target platform.

Clarifai - The World's AI

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.

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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