Software Alternatives & Reviews

WEKA VS TFlearn

Compare WEKA VS TFlearn and see what are their differences

WEKA logo WEKA

WEKA is a set of powerful data mining tools that run on Java.

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
  • WEKA Landing page
    Landing page //
    2018-09-29
Not present

WEKA videos

Review of Feature Selection in Weka

More videos:

  • Review - Getting Started with Weka - Machine Learning Recipes #10
  • Tutorial - Data mining with Weka | Data mining Tutorial for Beginners

TFlearn videos

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

Category Popularity

0-100% (relative to WEKA and TFlearn)
Data Science And Machine Learning
OCR
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Python Tools
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare WEKA and TFlearn

WEKA Reviews

15 data science tools to consider using in 2021
Weka is free software licensed under the GNU General Public License. It was developed at the University of Waikato in New Zealand starting in 1992; an initial version was rewritten in Java to create the current workbench, which was first released in 1999. Weka stands for the Waikato Environment for Knowledge Analysis and is also the name of a flightless bird native to New...

TFlearn Reviews

We have no reviews of TFlearn yet.
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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.

WEKA mentions (0)

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

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

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

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

Clarifai - The World's AI

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