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Floyd VS TFlearn

Compare Floyd VS TFlearn and see what are their differences

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Floyd logo Floyd

Heroku for deep learning

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
  • Floyd Landing page
    Landing page //
    2023-03-20
Not present

Floyd videos

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How to: Floyd Bed and Purple Mattress + Review (Not Sponsored)

More videos:

  • Review - Floyd Bed Frame Setup and Review - Is it Supportive Enough?
  • Review - FLOYD (FLAT PACK) REVIEW/UNBOXING | THE SOFA + THE COFFEE TABLE + THE FLOYD BED | APARTMENT BUNDLE

TFlearn videos

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

Category Popularity

0-100% (relative to Floyd and TFlearn)

Floyd

TFlearn

Data Science And Machine Learning
48 48%
Data Science And Machine Learning
52% 52
OCR
0 0%
OCR
100% 100
AI
100 100%
AI
0% 0
Productivity
100 100%
Productivity
0% 0

User comments

Share your experience with using Floyd 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.

Floyd mentions (0)

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

Deep Learning Gallery - A curated list of awesome deep learning projects

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

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Clarifai - The World's AI

Lobe - Visual tool for building custom deep learning models

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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