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Jampp VS TFlearn

Compare Jampp VS TFlearn and see what are their differences

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Jampp logo Jampp

Jampp is a performance marketing platform for retargeting mobile customers.

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
  • Jampp Landing page
    Landing page //
    2021-12-22
Not present

Jampp videos

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An Ad Fraud Warning to Marketers from Reformed Provider, Jampp

More videos:

  • Review - How Jampp architected a real time bidding system on AWS with PrestoDB
  • Review - #StartupsUnedited - Jana Fung, Former Twitter and Facebook now Jampp

TFlearn videos

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

Category Popularity

0-100% (relative to Jampp and TFlearn)

Jampp

TFlearn

Social Media Marketing
100 100%
Social Media Marketing
0% 0
OCR
0 0%
OCR
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

Share your experience with using Jampp 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.

Jampp mentions (0)

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

BPRISE - BPRISE is an easy-to-use and effective advertising management platform that allows you to create campaigns and beautiful ads to attract people on various social media platforms.

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

N.Rich - N.Rich is a web-based advertising platform that allows you to attract more leads by creating impactful and interactive advertising content and targeting the content on a respective segment effectively to generate a large amount of revenue.

Clarifai - The World's AI

TractionNext - TractionNext is a web-based multi-channel communication platform that is used to enhance the scale of your business by engaging your audience in a creative manner and creating content that is value-driven.

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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