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ClicksMob VS TFlearn

Compare ClicksMob VS TFlearn and see what are their differences

Agiliron
Omni-Channel SaaS Solution Suite for Retail, Wholesale & eCommerce businesses featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

ClicksMob logo ClicksMob

DAU-UP ClicksMob provides user acquisition & revenue maximization for mobile apps.

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
  • ClicksMob Landing page
    Landing page //
    2023-05-07
Not present

ClicksMob videos

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We Are ClicksMob!

More videos:

  • Review - CPA Mobile Performance - Chen Levanon - ClicksMob - AppsWorld San Francisco 2013

TFlearn videos

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

Category Popularity

0-100% (relative to ClicksMob and TFlearn)

ClicksMob

TFlearn

Analytics
100 100%
Analytics
0% 0
OCR
0 0%
OCR
100% 100
Ad Networks
100 100%
Ad Networks
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

Share your experience with using ClicksMob 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.

ClicksMob mentions (0)

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

Localytics - App analytics and marketing for iPhone, iPad, Android, HTML5, Blackberry and Windows apps.

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

Liftoff.io - eCommerce & web to print platform

Clarifai - The World's AI

Widdit - Widdit provides tools that help app developers create an interactive online experience for users on both PC and mobile ecosystems.

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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