- [Keras] How much steps_per_epoch should I use if I apply data augmentation? https://keras.io/preprocessing/image/ 4 comments learnmachinelearning
- How do I get my X, y variables when I use .flow_from_directory(directory) for Keras? https://keras.io/preprocessing/image/ 4 comments learnmachinelearning
Linking pages
- Gender Distribution in North Korean Posters with Convolutional Neural Networks – Digital NK http://digitalnk.com/blog/2017/09/30/gender-distribution-in-north-korean-posters/ 26 comments
- Convert a physical chessboard into a digital one https://tech.bakkenbaeck.com/post/chessvision 21 comments
- Keras Tutorial - Traffic Sign Recognition - Sasank's Blog https://chsasank.github.io/keras-tutorial.html 9 comments
- Building powerful image classification models using very little data http://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html 6 comments
- Lessons Learned from Kaggle’s Airbus Challenge. | by Yassine Alouini | Towards Data Science https://medium.com/@YassineAlouini/lessons-learned-from-kaggles-airbus-challenge-252e25c5efac 3 comments
- A Keras multithreaded DataFrame generator for millions of image files | by Ryan Woodard | Xandr-Tech | Medium https://techblog.appnexus.com/a-keras-multithreaded-dataframe-generator-for-millions-of-image-files-84d3027f6f43 1 comment
- A Riddikulus Dataset. Building a Harry Potter dataset for… | by Gant Laborde | Google Developer Experts | Medium https://medium.com/google-developer-experts/a-riddikulus-dataset-fb68f9044e33 1 comment
- RC Car ML Model Development with an Ouster OS1 Lidar https://www.wilselby.com/2020/02/rc-car-ml-model-development-with-ouster-os1-lidar/ 0 comments
- What you need to know about data augmentation for machine learning | Cartesian Faith https://cartesianfaith.com/2016/10/06/what-you-need-to-know-about-data-augmentation-for-machine-learning/ 0 comments
- A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning | by Dipanjan (DJ) Sarkar | Towards Data Science https://towardsdatascience.com/a-comprehensive-hands-on-guide-to-transfer-learning-with-real-world-applications-in-deep-learning-212bf3b2f27a 0 comments
- GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 0 comments
- stratospark – AI Tool Building http://blog.stratospark.com/multiprocess-image-augmentation-keras.html 0 comments
- Leveraging on transfer learning for image classification using Keras | Skcript https://www.skcript.com/svr/leveraging-on-transfer-learning-for-image-classification-using-keras/ 0 comments
- How to Classify Photos of Dogs and Cats (with 97% accuracy) https://machinelearningmastery.com/how-to-develop-a-convolutional-neural-network-to-classify-photos-of-dogs-and-cats/ 0 comments
- Building powerful image classification models using very little data http://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html?cmp=em-na-na-na-newsltr_four_short_links_20160608&imm_mid=0e4984 0 comments
- Simpsons Detector http://zachmoshe.com/2017/05/03/simpsons-detector.html 0 comments
- Detecting Cute Animals with Machine Learning | by Jaakko Kangasharju | Towards Data Science https://towardsdatascience.com/detecting-cute-animals-with-machine-learning-d39a511bd144 0 comments
- Applied Deep Learning - Part 4: Convolutional Neural Networks | by Arden Dertat | Towards Data Science https://towardsdatascience.com/applied-deep-learning-part-4-convolutional-neural-networks-584bc134c1e2 0 comments
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