keras-examples
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aidiary
Kerasのサンプルプログラム
In finetuning.py of _17Flowers_ how you are performing fine tuning without loading a pretrained weights? As I can see you commented out the following line (Line no. 51): ` #...
pix2pix
- https://arxiv.org/abs/1611.07004 - https://phillipi.github.io/pix2pix/ - http://qiita.com/hiromu1996/items/38f1bd5a78336fa8ca25 - https://github.com/mattya/chainer-pix2pix
http://www.world-of-lucid-dreaming.com/inside-robot-dreams-what-the-google-ai-bots-think-about.html https://github.com/danielvarga/keras-deep-dream/blob/master/deep_dream.py https://github.com/google/deepdream/blob/master/dream.ipynb https://github.com/danielvarga/keras-deep-dream/blob/master/deep_dream.py
フィルタの可視化 https://github.com/fchollet/keras/blob/master/examples/conv_filter_visualization.py https://blog.keras.io/how-convolutional-neural-networks-see-the-world.html https://github.com/raghakot/keras-vis https://github.com/jacobgil/keras-filter-visualization https://jacobgil.github.io/deeplearning/filter-visualizations https://blog.keras.io/how-convolutional-neural-networks-see-the-world.html http://ankivil.com/visualizing-deep-neural-networks-classes-and-features/ http://yosinski.com/deepvis
seq2seq https://arxiv.org/abs/1506.05869 https://github.com/Conchylicultor/DeepQA https://github.com/nicolas-ivanov/seq2seq_chatbot_links
https://blog.keras.io/how-convolutional-neural-networks-see-the-world.html https://jacobgil.github.io/deeplearning/filter-visualizations http://yosinski.com/deepvis 指定したフィルタの活性化（出力？）を最大化するような入力画像を生成する 繰り返しgradを足し込む？ data gradient http://stackoverflow.com/questions/38135950/meaning-of-weight-gradient-in-cnn http://yosinski.com/deepvis http://qiita.com/knao124/items/fdb47674ada389e70c6e http://ankivil.com/visualizing-deep-neural-networks-classes-and-features/
Region-CNN 物体検出 http://cs231n.stanford.edu/slides/winter1516_lecture8.pdf https://www.researchgate.net/post/In_Keras_How_can_I_extract_the_exact_location_of_the_detected_object_or_objects_within_image_that_includes_a_background r-cnn fast r-cnn faster r-cnn - https://papers.nips.cc/paper/5638-faster-r-cnn-towards-real-time-object-detection-with-region-proposal-networks.pdf - http://tech-blog.abeja.asia/entry/object-detection-summary - http://kivantium.hateblo.jp/entry/2015/12/25/112145 - http://qiita.com/Almond/items/7850cf81903fbe2a2c6c - BING http://qiita.com/Almond/items/ad56ce29112d6397a704 - http://qiita.com/Almond/items/a85b77fb98df11aa9cbe#_reference-83ce9060a918a251c4bf - chainer faster-rcnn https://github.com/mitmul/chainer-faster-rcnn - https://github.com/rbgirshick/py-faster-rcnn - https://github.com/fchollet/keras/issues/2469...
- http://image-net.org/challenges/talks/ilsvrc2015_deep_residual_learning_kaiminghe.pdf - http://qiita.com/supersaiakujin/items/935bbc9610d0f87607e8 - https://deepage.net/deep_learning/2016/11/30/resnet.html - http://qiita.com/supersaiakujin/items/eb0553a1ef1d46bd03fa - https://github.com/raghakot/keras-resnet
- 音声合成 - https://deepmind.com/blog/wavenet-generative-model-raw-audio/ - http://musyoku.github.io/2016/09/18/wavenet-a-generative-model-for-raw-audio/ - https://github.com/ibab/tensorflow-wavenet (TensorFlow) - https://github.com/tomlepaine/fast-wavenet (fast WaveNet) - https://github.com/monthly-hack/chainer-wavenet (chainer)