E-book
Hands-On Convolutional Neural Networks with TensorFlow : Solve Computer Vision Problems with Modeling in TensorFlow and Python
Record details
- ISBN: 1789132827
- ISBN: 9781789132823
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Physical Description:
1 online resource (264 pages)
remote - Publisher: Birmingham : Packt Publishing Ltd, 2018.
Content descriptions
| General Note: | Substituting the 3x3 convolution |
| Formatted Contents Note: | Conversion from traditional CNN to Fully ConvnetsSingle Shot Detectors -- You Only Look Once; Creating training set for Yolo object detection; Evaluating detection (Intersection Over Union); Filtering output; Anchor Box; Testing/Predicting in Yolo; Detector Loss function (YOLO loss); Loss Part 1; Loss Part 2; Loss Part 3; Semantic segmentation; Max Unpooling; Deconvolution layer (Transposed convolution); The loss function; Labels; Improving results; Instance segmentation; Mask R-CNN; Summary; Chapter 5: VGG, Inception Modules, Residuals, and MobileNets; Substituting big convolutions |
| Restrictions on Access Note: | NLC staff and students only. |
| Source of Description Note: | Print version record. |
Search for related items by subject
| Subject: | Neural networks (Computer science) -- Computer simulation |
