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Distiller VS TFlearn

Compare Distiller VS TFlearn and see what are their differences

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

Distiller logo Distiller

Distiller's hosted continuous integration platform takes the pain out of mobile development through automated build, test, and deployment of your iOS apps.

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
  • Distiller Landing page
    Landing page //
    2023-10-19
Not present

Distiller videos

+ Add

Megahome V Waterpure Water Distiller Review

More videos:

  • Review - Review: $60 Ebay water distiller, all stainless steel internal
  • Review - ✅Water Distiller: Reviews of the 5 Best Water Distillers, Plus 2 to Avoid ❎

TFlearn videos

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

Category Popularity

0-100% (relative to Distiller and TFlearn)

Distiller

TFlearn

Food And Beverage
100 100%
Food And Beverage
0% 0
OCR
0 0%
OCR
100% 100
Systematic Reviews
100 100%
Systematic Reviews
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

Share your experience with using Distiller 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.

Distiller mentions (0)

We have not tracked any mentions of Distiller yet. Tracking of Distiller 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 / almost 2 years 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 Distiller and TFlearn, you can also consider the following products

Drammer Whisky App - User friendly app to track & share your whisky experiences 🥃

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

Sifter - Sifter is designed to be a simple bug and issue tracker for small teams and works especially great for teams with non-technical folks involved.

Clarifai - The World's AI

DistillerSR by Evidence Partners - DistillerSR automates every stage of your literature reviews to produce evidence-based research faster and more accurately.

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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