Learn Caffe!

24 Caffe courses are available from Udemy and Packt.

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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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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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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Introduction to Deep Learning with Caffe2

Create powerful applications for the real world using Caffe2

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Build and train scalable neural network models on various platforms by leveraging the power of Caffe2

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Hands-On Deep Learning with Caffe2

Practical use cases will teach you to code once and run your Deep Learning models anywhere.

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Build^ train^ and deploy your models using the speed and efficiency of Caffe and get future-ready in the world of Deep Learning

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【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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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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Machine Learning with Open CV and Python

Analyze and understand your data with the power and simplicity of Python

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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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Dive into the future of data science and learn how to build the sophisticated algorithms that are fundamental to deep learning and AI with Java

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OpenCV Object Recognition: Harness Deep Learning in OpenCV

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