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ConvNetJS VS TFlearn

Compare ConvNetJS VS TFlearn and see what are their differences

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ConvNetJS logo ConvNetJS

ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in a browser.

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
  • ConvNetJS Landing page
    Landing page //
    2019-05-06
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ConvNetJS videos

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TFlearn videos

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

Category Popularity

0-100% (relative to ConvNetJS and TFlearn)

ConvNetJS

TFlearn

OCR
33 33%
OCR
67% 67
Machine Learning
41 41%
Machine Learning
59% 59
Data Science And Machine Learning
26 26%
Data Science And Machine Learning
74% 74
Image Analysis
100 100%
Image Analysis
0% 0

User comments

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Social recommendations and mentions

TFlearn might be a bit more popular than ConvNetJS. We know about 2 links to it since March 2021 and only 2 links to ConvNetJS. 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.

ConvNetJS mentions (2)

  • Gotta consider every possibility
    One, Two, Three, and so on. ANYone does use JS for machine learning. Though that's unconventional, python is by far the leading language for ML. Maybe you meant to say "EVERYone"? Source: about 1 year ago
  • How to start with Deep Learning
    Another good one is ConvNetJS - but I don’t have much experience using that. - Source: dev.to / almost 3 years ago

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 ConvNetJS and TFlearn, 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.

Microsoft Cognitive Toolkit (Formerly CNTK) - Machine Learning

Clarifai - The World's AI

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.

Knet - Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.

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.

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