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TFlearn VS SHARK

Compare TFlearn VS SHARK and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

SHARK logo SHARK

See sharks everywhere with this AR app 🦈
Not present
  • SHARK Landing page
    Landing page //
    2020-02-11

TFlearn videos

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

SHARK videos

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Marine Biologist Breaks Down Shark Attack Scenes from Movies | GQ

More videos:

  • Review - Shark vacuum cleaner test and review
  • Review - Marine Scientist Reviews Shark Attack Scenes, from 'Jaws' to 'Open Water' | Vanity Fair

Category Popularity

0-100% (relative to TFlearn and SHARK)

TFlearn

SHARK

OCR
79 79%
OCR
21% 21
Data Science And Machine Learning
32 32%
Data Science And Machine Learning
68% 68
Data Science Tools
0 0%
Data Science Tools
100% 100
Machine Learning
100 100%
Machine Learning
0% 0

User comments

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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.

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

SHARK mentions (0)

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

What are some alternatives?

When comparing TFlearn and SHARK, you can also consider the following products

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

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

Clarifai - The World's AI

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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.

NumPy - NumPy is the fundamental package for scientific computing with Python

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