Software Alternatives, Accelerators & Startups

Amazon Comprehend VS TFlearn

Compare Amazon Comprehend VS TFlearn and see what are their differences

Amazon Comprehend logo Amazon Comprehend

Discover insights and relationships in text

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
  • Amazon Comprehend Landing page
    Landing page //
    2022-02-01
Not present

Amazon Comprehend videos

Building Text Analytics Applications on AWS using Amazon Comprehend - AWS Online Tech Talks

More videos:

  • Tutorial - How to Analyse Text with Amazon Comprehend - Sentiment Analysis and Entity Extraction tutorial
  • Review - Analyzing Text with Amazon Elasticsearch Service and Amazon Comprehend - AWS Online Tech Talks

TFlearn videos

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

Category Popularity

0-100% (relative to Amazon Comprehend and TFlearn)
Spreadsheets
100 100%
0% 0
OCR
0 0%
100% 100
NLP And Text Analytics
100 100%
0% 0
Data Science And Machine Learning

User comments

Share your experience with using Amazon Comprehend and TFlearn. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Amazon Comprehend should be more popular than TFlearn. It has been mentiond 19 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.

Amazon Comprehend mentions (19)

View more

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 / over 3 years ago

What are some alternatives?

When comparing Amazon Comprehend and TFlearn, you can also consider the following products

spaCy - spaCy is a library for advanced natural language processing in Python and Cython.

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

FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.

Clarifai - The World's AI

Google Cloud Natural Language API - Natural language API using Google machine learning

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.