Software Alternatives & Reviews

Amazon DSSTNE VS TFlearn

Compare Amazon DSSTNE VS TFlearn and see what are their differences

Amazon DSSTNE logo Amazon DSSTNE

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is a library for building Deep Learning (DL) and machine learning (ML) models.

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
  • Amazon DSSTNE Landing page
    Landing page //
    2023-10-16
Not present

Amazon DSSTNE videos

No Amazon DSSTNE videos yet. You could help us improve this page by suggesting one.

+ Add video

TFlearn videos

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

Category Popularity

0-100% (relative to Amazon DSSTNE and TFlearn)
Data Science And Machine Learning
OCR
0 0%
100% 100
Deep Learning
100 100%
0% 0
Data Dashboard
18 18%
82% 82

User comments

Share your experience with using Amazon DSSTNE 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, 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.

Amazon DSSTNE mentions (0)

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

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

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

Clarifai - The World's AI

Floyd - Heroku for deep 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.

Deeplearning4j - Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala.