CAFFE (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework, originally developed at University of California, Berkeley. It is open source, under a BSD license. It is written in C++, with a Python interface. - read more on Wikipedia
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Beginner
eLearning
English
4h
Deep Learning with Caffe 2 - Hands On!
Build^ train & deploy models using the speed & efficiency of Caffe 2 & get future-ready in the world of deep learning
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eLearning
English
1.5h
C++ Deep Learning with Caffe
Build^ train & deploy your models using the speed & efficiency of Caffe & get future-ready in the world of Deep Learning
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eLearning
English
2h
Introduction to Deep Learning with Caffe2
Create powerful applications for the real world using Caffe2
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English
2h
Hands-On Deep Learning with Caffe2
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Beginner
eLearning
English
5.5h
Learning Path: OpenCV: Real-Time Computer Vision with OpenCV
Harness the power of OpenCV 3 to build practical computer vision projects
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eLearning
English
1.5h
Machine Learning with Open CV and Python
Analyze and understand your data with the power and simplicity of Python
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eLearning
English
11h
Master Computer Vision™ OpenCV4 in Python with Deep Learning
Master OpenCV4 like a pro while learning Dlib^ Deep Learning Computer Vision (Keras^ TensorFlow & Caffe) + 21 Projects!
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eLearning
English
2h
Object Detection & Recognition Using Deep Learning in OpenCV
Skill up with techniques for detection and decoding of images in OpenCV
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English
2h
Machine Learning with Core ML in iOS 11
Implement the Core ML framework in your iOS programs
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Object Recognition with Deep Learning using OpenCV and C#
Building Object Detection and Classification Applications using Computer Vision^ Deep Learning^ OpenCV and C#
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Japanese
4h
【NumPy・Python3で】ゼロから作るニューラルネットワーク
Python 3とNumPyで単層・多層ニューラルネットワークを自作して、機械学習の仕組みを理解しよう。バックプロパゲーションの仕組みをスクラッチで理解することで、ディープラーニングのライブラリを使いこなせるようになります。
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Portuguese
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Reconhecimento de Gestos e Ações com Python e OpenCV
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