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Caffe. Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research ( BAIR) and by community contributors. Yangqing Jia …
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Netscope CNN Analyzer. A web-based tool for visualizing and analyzing convolutional neural network architectures (or technically, any directed acyclic graph). Currently supports Caffe 's …
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A chessboard image classifier was created using CreateML and a chesspiece object detection deep neural network model (CaffeNet) was created using Caffe in Google …
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Introduction. In this section, we will build a face detection algorithm using Caffe model, but only OpenCV is not involved this time. Instead, along with the computer vision …
Data enters Caffe through data layers: they lie at the bottom of nets. Data can come from efficient databases (LevelDB or LMDB), directly from memory, or, when efficiency is not critical, from …
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caffe2any: analyze Caffe prototxt files This project contains a few utilities to analyze Caffe prototxt files. My aim is to get a better understanding of the structure of DL topologies, either …
Caffe solver log analyzer Raw plot_iteration.py This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in …
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The Model Accuracy Analyzer locates the accuracy drop problems at one or more layers that are not customized. MindStudio introduces the Caffe subnetwork export capability …
The Model Accuracy Analyzer locates the accuracy drop problems at one or more layers that are not customized. Mind Studio introduces the Caffe submodel export capability to …
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Explore the analyzer template. The analyzer with code fix template creates five projects: MakeConst, which contains the analyzer.; MakeConst.CodeFixes, which contains the …
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