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TFlearn VS Dlib

Compare TFlearn VS Dlib and see what are their differences

TFlearn logo TFlearn

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

Dlib logo Dlib

Dlib is a modern C++ toolkit containing machine learning algorithms & tools for creating complex software in C++ to solve real world problem
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  • Dlib Landing page
    Landing page //
    2019-11-25

TFlearn videos

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

Dlib videos

Face Recognition with Dlib in Python

More videos:

Category Popularity

0-100% (relative to TFlearn and Dlib)
OCR
100 100%
0% 0
Data Science And Machine Learning
Data Science Tools
0 0%
100% 100
Machine Learning
76 76%
24% 24

User comments

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Reviews

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

TFlearn Reviews

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Dlib Reviews

10 Python Libraries for Computer Vision
Dlib is a versatile library that excels in face detection, facial landmark detection, image alignment, and more. It offers pre-trained models and tools for various machine learning tasks, making it a valuable asset for computer vision projects requiring accurate facial analysis.
Source: clouddevs.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
Dlib is a modern C++ toolkit containing machine learning algorithms and tools for developing complex software in C++ to solve real-world problems. Dlib is widely used in several sectors such as academia, government, and industry. It offers support for several computer vision algorithms such as object detection, face detection, and clustering.
Source: www.uubyte.com

Social recommendations and mentions

Based on our record, Dlib should be more popular than TFlearn. It has been mentiond 17 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 / 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 / about 3 years ago

Dlib mentions (17)

  • 32 years old. HRT in April or May. Things I can do to maximize results and what to expect.
    The apparent gender estimates from photos are using dlib, and I really ought to get what I'm doing cleaned up in such a way that other people can use it easily. Source: over 1 year ago
  • C++ for machine learning
    Additionally, C++ may be used for extremely high levels of optimization even for cloud-based ML. Dlib and Kaldi are C++ libraries used as dependencies in Python codebases for computer vision and audio processing, for example. So if your application requires you to customize any functions similar to those libraries, then you'll need C++ knowhow. Source: over 1 year ago
  • What programming language should I learn after C++ for Audio DSP?
    If you know C++, you don't need anything else. Go and learn APIs for C++ libraries. If you're into DSP, why not study Dlib?. Source: over 1 year ago
  • Exponential vs linear progress?
    The data is mostly in this spreadsheet. The apparently facial gender estimates are made with Dlib. The mental health assessments are from Beck's Depression Inventory and the Snaith-Hamilton Pleasure Scale. The graph is made with gnuplot. Source: over 1 year ago
  • Flutter OpenCV and dlib for face detector & recognition
    The plugin uses dlib library with a very fast HOG detector for both face recognition and detector following the relative examples. Source: almost 2 years ago
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What are some alternatives?

When comparing TFlearn and Dlib, 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.

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

Clarifai - The World's AI

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

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.

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.