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Merge pull request #147 from sayands/master

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Added Deep Learning and Image Analysis Tutorials
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Tu V. Tran 2018-12-31 01:39:09 +07:00 committed by GitHub
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@ -152,6 +152,7 @@ To get started, simply fork this repo. Please refer to [CONTRIBUTING.md](CONTRIB
- [Build 30 things in 30 days with 30 tutorials](https://javascript30.com) - [Build 30 things in 30 days with 30 tutorials](https://javascript30.com)
- [Build an App in Pure JS](https://medium.com/codingthesmartway-com-blog/pure-javascript-building-a-real-world-application-from-scratch-5213591cfcd6) - [Build an App in Pure JS](https://medium.com/codingthesmartway-com-blog/pure-javascript-building-a-real-world-application-from-scratch-5213591cfcd6)
- [Build a Jupyter Notebook Extension](https://link.medium.com/wWUO7TN8SS)
## HTML and CSS: ## HTML and CSS:
@ -377,6 +378,8 @@ To get started, simply fork this repo. Please refer to [CONTRIBUTING.md](CONTRIB
- Dlib Correlation Object Tracking - - Dlib Correlation Object Tracking -
- [Single Object Tracker](https://www.pyimagesearch.com/2018/10/22/object-tracking-with-dlib/) - [Single Object Tracker](https://www.pyimagesearch.com/2018/10/22/object-tracking-with-dlib/)
- [Mutiple Object Tracker](https://www.pyimagesearch.com/2018/10/29/multi-object-tracking-with-dlib/) - [Mutiple Object Tracker](https://www.pyimagesearch.com/2018/10/29/multi-object-tracking-with-dlib/)
- [Image Stitching with OpenCV and Python](https://www.pyimagesearch.com/2018/12/17/image-stitching-with-opencv-and-python/)
- [Instance Segmentation with OpenCV](https://www.pyimagesearch.com/2018/11/26/instance-segmentation-with-opencv/)
### Deep Learning: ### Deep Learning:
@ -412,6 +415,10 @@ To get started, simply fork this repo. Please refer to [CONTRIBUTING.md](CONTRIB
- [Fashion MNIST tutorial with tf.keras](https://medium.com/tensorflow/hello-deep-learning-fashion-mnist-with-keras-50fcff8cd74a) - [Fashion MNIST tutorial with tf.keras](https://medium.com/tensorflow/hello-deep-learning-fashion-mnist-with-keras-50fcff8cd74a)
- [CNN using Keras to automatically classify root health](https://www.pyimagesearch.com/2018/10/15/deep-learning-hydroponics-and-medical-marijuana/) - [CNN using Keras to automatically classify root health](https://www.pyimagesearch.com/2018/10/15/deep-learning-hydroponics-and-medical-marijuana/)
- [Keras vs Tensorflow](https://www.pyimagesearch.com/2018/10/08/keras-vs-tensorflow-which-one-is-better-and-which-one-should-i-learn/) - [Keras vs Tensorflow](https://www.pyimagesearch.com/2018/10/08/keras-vs-tensorflow-which-one-is-better-and-which-one-should-i-learn/)
- [Deep Learning and Medical Image Analysis for Malaria Detection](https://www.pyimagesearch.com/2018/12/03/deep-learning-and-medical-image-analysis-with-keras/)
- [Transfer Learning for Image Classification using Keras](https://towardsdatascience.com/transfer-learning-for-image-classification-using-keras-c47ccf09c8c8)
- [Code a Smile Classifier using CNNS in Python](https://github.com/kylemcdonald/SmileCNN)
- [Natural Language Processing using scikit-learn](https://towardsdatascience.com/natural-language-processing-count-vectorization-with-scikit-learn-e7804269bb5e)
### Miscellaneous: ### Miscellaneous: