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CNN Receptive Field Computation Using Backprop with TensorFlow

Anastasia Murzova
July 23, 2020 Leave a Comment
Computer Vision Stories Deep Learning Feature Detection Image Classification Keras Object Detection Tensorflow Tools Tutorial

July 23, 2020 By Leave a Comment

In our recent post about receptive field computation, we examined the concept of receptive fields using PyTorch. We learned receptive field is the proper tool to understand what the network 'sees' ...

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Tags: bounding box classification CNN deep learning fully convolutional Fully Convolutional Network (FCN) imageNet Keras max activation Object Detection object detector ONNX pre-training preprocess unit pytorch2keras receptive field Resnet resnet18 resnet50 response map Tensorflow threshold
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Filed Under: Computer Vision Stories, Deep Learning, Feature Detection, Image Classification, Keras, Object Detection, Tensorflow, Tools, Tutorial

Keras Tutorial : Fine-tuning using pre-trained models

Vikas Gupta
Anastasia Murzova
February 6, 2018 18 Comments
Deep Learning how-to Tutorial

February 6, 2018 By 18 Comments

Result of finetuning

In the previous two posts, we learned how to use pre-trained models and how to extract features from them for training a model for a different task. In this tutorial, we will learn how to fine-tune a ...

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Tags: deep learning Fine-tuning Keras pre-training Tensorflow transfer learning VGG16
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Filed Under: Deep Learning, how-to, Tutorial

Keras Tutorial : Using pre-trained Imagenet models

Vikas Gupta
Anastasia Murzova
December 26, 2017 8 Comments
Deep Learning how-to Image Classification Tutorial

December 26, 2017 By 8 Comments

keras results

In this post we will learn how to use pre-trained models trained on large datasets like ILSVRC, and also learn how to use them for a different task than it was trained on. We will be covering the ...

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Tags: deep learning ILSVRC Keras pre-training
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Filed Under: Deep Learning, how-to, Image Classification, Tutorial

About

I am an entrepreneur with a love for Computer Vision and Machine Learning with a dozen years of experience (and a Ph.D.) in the field.

In 2007, right after finishing my Ph.D., I co-founded TAAZ Inc. with my advisor Dr. David Kriegman and Kevin Barnes. The scalability, and robustness of our computer vision and machine learning algorithms have been put to rigorous test by more than 100M users who have tried our products. Read More…

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