Sách Deep Learning cơ bản

226 Chương 17. Ứng dụng thêm mô tả cho ảnh
[3] Convolutional Neural Networks (CNNs / ConvNets). URL: https://www.qubole.com/
blog/deep-learning-the-latest-trend-in-ai-and-ml (cited on page 3).
[4] Convolutional Neural Networks (CNNs / ConvNets). URL: http://cs231n.github.io/
convolutional-networks/ (cited on pages 120, 189).
[5] Deep Learning Framework Power Scores 2018. URL: https://towardsdatascience.
com/deep- learning- framework- power- scores- 2018- 23607ddf297a (cited on
page 126).
[6] End to End Learning for Self-Driving Cars. URL: https : / / images . nvidia . com /
content/tegra/automotive/images/2016/solutions/pdf/end- to- end- dlusing-px.pdf
(cited on page 140).
[9] How LSTM networks solve the problem of vanishing gradients. URL: https://medium.
com/datadriveninvestor/how- do- lstm- networks- solve- the- problem- ofvanishing-gradients-a6784971a577
(cited on page 207).
[10] Image Captioning in Deep Learning. URL: https://towardsdatascience.com/imagecaptioning-in-deep-learning-9cd23fb4d8d2
(cited on pages 200, 209).
[11] Intersection over Union (IoU) for object detection. URL: https://www.pyimagesearch.
com/2016/11/07/intersection-over-union-iou-for-object-detection/ (cited
on pages 185, 186).
[12] Kernel (image processing). URL: https://en.wikipedia.org/wiki/Kernel_(image_
processing) (cited on page 111).
[13] Machine Learning. URL: https://www.coursera.org/learn/machine-learning
(cited on pages 46, 150, 165, 166).
[14] Neurons and Nerves. URL: https://askabiologist.asu.edu/neuron-anatomy (cited
on page 72).
[17] R-CNN, Fast R-CNN, Faster R-CNN, YOLO — Object Detection Algorithms. URL: https:
//towardsdatascience.com/r-cnn-fast-r-cnn-faster-r-cnn-yolo-objectdetection-algorithms-36d53571365e
(cited on page 182).
[19] RGB color model. URL: https://en.wikipedia.org/wiki/RGB_color_model (cited
on page 99).
[22] RUN FASTER RCNN USING TENSORFLOW DETECTION API. URL: https://datasci.info/2017/06/27/run-faster-rcnn-tensorflow-detection-api/
(cited on
page 178).
[23] Selective Search for Object Detection (C++ / Python). URL: https://www.learnopencv.
com/selective-search-for-object-detection-cpp-python/ (cited on page 179).
[24] Semi-supervised learning with Generative Adversarial Networks (GANs). URL: https://
towardsdatascience.com/semi-supervised-learning-with-gans-9f3cb128c5e
(cited on page 161).
[25] Simple RNN vs GRU vs LSTM :- Difference lies in More Flexible control. URL: https://
medium.com/@saurabh.rathor092/simple-rnn-vs-gru-vs-lstm-differencelies-in-more-flexible-control-5f33e07b1e57
(cited on page 206).
[27] Understanding Semantic Segmentation with UNET. URL: https://towardsdatascience.
com/understanding-semantic-segmentation-with-unet-6be4f42d4b47 (cited
on page 190).
[28] Xác suất. URL: https://en.wikipedia.org/wiki/Probability (cited on page 55).