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TFlearn VS Darknet

Compare TFlearn VS Darknet and see what are their differences

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TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

Darknet logo Darknet

Darknet is an open source neural network framework written in C and CUDA.
Not present
  • Darknet Landing page
    Landing page //
    2019-05-24

TFlearn videos

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

Darknet videos

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Darknet Game review

Category Popularity

0-100% (relative to TFlearn and Darknet)

TFlearn

Darknet

OCR
68 68%
OCR
32% 32
Data Science And Machine Learning
54 54%
Data Science And Machine Learning
46% 46
Machine Learning
57 57%
Machine Learning
43% 43
Data Dashboard
100 100%
Data Dashboard
0% 0

User comments

Share your experience with using TFlearn and Darknet. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Darknet should be more popular than TFlearn. It has been mentiond 3 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.

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

Darknet mentions (3)

  • How to identify a senior developer
    This reminds me of the resume for the guy who made darknet Https://pjreddie.com/darknet/. Source: about 1 year ago
  • Face Recognition
    Election of tools: you should define if you are going to use machine/deep learning methods or classical approaches such as the Viola-Jones algorithm. I will recommend you to use ML/DL with TensorFlow (Object Detection API) or Darknet (YOLO). Source: about 2 years ago
  • C with Deep Learning
    Yes, in subfield of ML like DNL and CNL, C||C++ are commonly used, darkent is open source neural network framework written in c and cuda . Source: almost 3 years ago

What are some alternatives?

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

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

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.

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.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Microsoft Cognitive Toolkit (Formerly CNTK) - Machine Learning

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