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deeplearn-rs VS TFlearn

Compare deeplearn-rs VS TFlearn and see what are their differences

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deeplearn-rs logo deeplearn-rs

deeplearn-rs is a deep learning in rust that can be used to build trainable matrix compptation graphs that are configurable at runtime.

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
  • deeplearn-rs Landing page
    Landing page //
    2023-10-21
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deeplearn-rs 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 deeplearn-rs and TFlearn)

deeplearn-rs

TFlearn

Data Science And Machine Learning
18 18%
Data Science And Machine Learning
82% 82
OCR
0 0%
OCR
100% 100
Deep Learning
100 100%
Deep Learning
0% 0
Data Dashboard
18 18%
Data Dashboard
82% 82

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.

deeplearn-rs mentions (0)

We have not tracked any mentions of deeplearn-rs yet. Tracking of deeplearn-rs 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 deeplearn-rs 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.

DeepDetect - DeepDetect is a deep learning API and server that is written in C++11 to makes deep learning easy to work with and integrate into existing applications.

Clarifai - The World's AI

Deeplearning4j - Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala.

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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