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High level-api in tensorflow

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Hyungjoo Cho
Hyungjoo Cho

The guide for design wrapper of tensorflow to build model easily. All the codes above are available on my github. https://github.com/NySunShine/fusion-net

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High Level APIs In Tensorflow SCG AI Research Group Hyungjoo Cho
Who I am • (ex) LG Electronics, VC company
 - Printing image processing
 - Proximity sensing
 - Gesture recognition • Seoul City Gas, AI Research Group
 - Gas meter recognition
 - Text classification
 - Automatic pipeline network design system • Interest
 - Human Action Recognition
 - Medical Image Processing 
 - Generative Adversarial Networks
What is Tensorflow??
Tensorflow • Open source software library for numerical computation using data flow graphs.
Why should we use Tensorflow??
*http://chainer.org/general/2017/02/08/Performance-of-Distributed-Deep-Learning-Using-ChainerMN.html
*https://arxiv.org/pdf/1608.07249.pdf
…???
Features • Very low level (Flexible) • Extensible • Maintainable • Higher level primitives (X)
High level API
Imagenet challenge
Break-through 2012 CHALLANGE
What happened??
Alex-net
Alex-net in Tensorflow
How about deeper net
VGG-Net
Its code
How about more deeper …
Deep Residual Networks We might use a network which has more than 1k layers * https://github.com/daviddao/awesome-very-deep-learning
…
Let’s make it as a module
VGG-Net
Wide-Res-Net *https://github.com/szagoruyko/wide-residual-networks
Wide-Res-Net
Fusion-Net
Activation functions tf.nn.sigmoid tf.nn.tanh tf.nn.relu *http://adilmoujahid.com/posts/2016/06/introduction-deep-learning-python-caffe/
Others… Leaky Relu/Parametric Relu There’s no function…
Let’s make!!
Loss functions • L1 • L2 • Binomial Cross Entropy • Multinomial Cross Entropy • Gan loss • Pixel wise loss • …
Make!!
Benefits • Fast iteration • Best practices • Easily modify
Should we make this ourselves?
There is a number of High level API in Tensorflow
High level API in TF • TF-Slim • TF-layers, losses, metrics • TF-Learn • Keras
Thanks❤ https://github.com/NySunShine/fusion-net

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