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Azure Machine Learning Service VS TFlearn

Compare Azure Machine Learning Service VS TFlearn and see what are their differences

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Azure Machine Learning Service logo Azure Machine Learning Service

Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
  • Azure Machine Learning Service Landing page
    Landing page //
    2023-07-22
Not present

Azure Machine Learning Service videos

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What is Azure Machine Learning service and how data scientists use it

More videos:

  • Review - Azure Machine Learning service: Part 2 Training a Model

TFlearn videos

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

Category Popularity

0-100% (relative to Azure Machine Learning Service and TFlearn)

Azure Machine Learning Service

TFlearn

Data Science And Machine Learning
82 82%
Data Science And Machine Learning
18% 18
OCR
0 0%
OCR
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Python Tools
100 100%
Python Tools
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Azure Machine Learning Service and TFlearn

Azure Machine Learning Service Reviews

The 16 Best Data Science and Machine Learning Platforms for 2021
Description: The Azure Machine Learning service lets developers and data scientists build, train, and deploy machine learning models. The product features productivity for all skill levels via a code-first and drag-and-drop designer, and automated machine learning. It also features expansive MLops capabilities that integrate with existing DevOps processes. The service touts...
Source: solutionsreview.com

TFlearn Reviews

We have no reviews of TFlearn yet.
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Social recommendations and mentions

Based on our record, Azure Machine Learning Service should be more popular than TFlearn. It has been mentiond 4 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.

Azure Machine Learning Service mentions (4)

  • AI Team Collaboration with Azure ML Studio
    Building an AI solution requires more than just one person. You need a team of experts who can work together efficiently and creatively. That’s why you need a platform that supports collaboration and communication among your AI team members. Azure Machine Learning Studio is not only a powerful infrastructure for computation and technical tasks, but also a management tool that helps you organize and streamline your... - Source: dev.to / 10 months ago
  • Databricks 2022 vs Databricks 2025
    I'm biased, but giving my honest personal opinion here, I think this sounds like a bad idea. I'm not optimistic about Databricks long term. They are a data prep company masquerading as a data science company. Nothing wrong with that, but Spark resources are expensive compared with SQL, and they are at risk from all fronts (Cloud providers, Snowflake, AI/ML platform players, etc.). I see their Databricks controlled... Source: about 2 years ago
  • 20+ Free Tools & Resources for Machine Learning
    Azure Machine Learning An enterprise-grade service for the end-to-end machine learning life cycle that allows you to build models at scale. - Source: dev.to / about 2 years ago
  • Jobs which combine Chemical Engineering and Computer Science
    Azure Machine Learning (specifically for Energy and Manufacturing. Source: about 3 years ago

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 Azure Machine Learning Service and TFlearn, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Clarifai - The World's AI

NumPy - NumPy is the fundamental package for scientific computing with Python

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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