- What makes fine-tuning/transfer learning so immediately effective? https://keras.io/applications/ 3 comments learnmachinelearning
Linking pages
- Machine Learning is Fun Part 8: How to Intentionally Trick Neural Networks | by Adam Geitgey | Medium https://medium.com/@ageitgey/machine-learning-is-fun-part-8-how-to-intentionally-trick-neural-networks-b55da32b7196 66 comments
- DeepDream | TensorFlow Core https://www.tensorflow.org/tutorials/generative/deepdream 18 comments
- Keras vs. PyTorch: Alien vs. Predator recognition with transfer learning - deepsense.ai https://deepsense.ai/keras-vs-pytorch-avp-transfer-learning/ 11 comments
- GitHub - maziarraissi/Applied-Deep-Learning: Applied Deep Learning Course https://github.com/maziarraissi/Applied-Deep-Learning 6 comments
- Learning Deep Learning with Keras http://p.migdal.pl/2017/04/30/teaching-deep-learning.html 5 comments
- Cat, Dog, or Elon Musk?. Learn how to build your image… | by Fabian Bosler | Towards Data Science https://towardsdatascience.com/cat-dog-or-elon-musk-145658489730 5 comments
- Dank or not? Analyzing and predicting the popularity of memes on Reddit | Applied Network Science | Full Text https://appliednetsci.springeropen.com/articles/10.1007/s41109-021-00358-7 4 comments
- GitHub - alexklibisz/elastik-nearest-neighbors: Go to: https://github.com/alexklibisz/elastiknn https://github.com/alexklibisz/elastik-nearest-neighbors/ 1 comment
- 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
- stratospark – Deep Learning, Applied. Project #1 http://blog.stratospark.com/deep-learning-applied-food-classification-deep-learning-keras.html 1 comment
- GitHub - cgnorthcutt/cnn-gpu-benchmarks: Latest (2020) CNN and GPU Benchmarks on ImageNet and CIFAR https://github.com/cgnorthcutt/cnn-gpu-benchmarks 1 comment
- An Intuitive Guide to Deep Network Architectures | by Joyce Xu | Towards Data Science https://medium.com/towards-data-science/an-intuitive-guide-to-deep-network-architectures-65fdc477db41 1 comment
- The Unreasonable Effectiveness Of Neural Network Embeddings | by Peter Gao | Aquarium Learning | Medium https://medium.com/aquarium-learning/the-unreasonable-effectiveness-of-neural-network-embeddings-93891acad097 0 comments
- Transfer learning guide(With examples for text and images in Keras and PyTorch) https://www.machinelearningnuggets.com/transfer-learning-guide/ 0 comments
- Illustrated: 10 CNN Architectures | by Raimi Karim | Towards Data Science https://towardsdatascience.com/illustrated-10-cnn-architectures-95d78ace614d 0 comments
- How to Use The Pre-Trained VGG Model to Classify Objects in Photographs https://machinelearningmastery.com/use-pre-trained-vgg-model-classify-objects-photographs/ 0 comments
- Categorizing Listing Photos at Airbnb | by Shijing Yao | The Airbnb Tech Blog | Medium https://medium.com/airbnb-engineering/categorizing-listing-photos-at-airbnb-f9483f3ab7e3 0 comments
- Understanding deep Convolutional Neural Networks 👁 with a practical use-case in Tensorflow and Keras | Ahmed BESBES https://ahmedbesbes.com/understanding-deep-convolutional-neural-networks-with-a-practical-use-case-in-tensorflow-and-keras.html 0 comments
- How to Prepare a Photo Caption Dataset for Training a Deep Learning Model https://machinelearningmastery.com/prepare-photo-caption-dataset-training-deep-learning-model/ 0 comments
- Chihuahua or muffin? My search for the best computer vision API https://medium.freecodecamp.org/chihuahua-or-muffin-my-search-for-the-best-computer-vision-api-cbda4d6b425d 0 comments
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