Software Alternatives & Reviews
Register | Login

BigDL VS TFlearn

Compare BigDL VS TFlearn and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

BigDL logo BigDL

BigDL is a distributed deep learning library for Apache Spark.

TFlearn logo TFlearn

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

BigDL videos

+ Add

BigDL app Review for Android - Free money for doing pretty much nothing!

More videos:

  • Review - 1 - BigDL Introduction - Getting Started
  • Review - BigDL Overview | Intel Business

TFlearn videos

+ Add

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

Category Popularity

0-100% (relative to BigDL and TFlearn)

BigDL

TFlearn

Data Science And Machine Learning
19 19%
Data Science And Machine Learning
81% 81
OCR
0 0%
OCR
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Software Libraries
100 100%
Software Libraries
0% 0

User comments

Share your experience with using BigDL 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 should be more popular than BigDL. 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.

BigDL mentions (1)

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 BigDL 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.

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

Clarifai - The World's AI

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.

OpenCV - OpenCV is the world's biggest computer vision library

Loading...