后記 · ApacheCN 深度學習譯文集

## 后記 > 探索是促進創新的引擎。創新促進經濟增長。讓我們一起去探索吧。 > > Edith Widder 在這里，我提供了一個介紹性指南，解釋了如何使用 TensorFlow，為這種技術提供熱身，這無疑將在迫在眉睫的技術場景中發揮主導作用。事實上，還有 TensorFlow 的其他替代方案，每個方案最適合特定問題；我想邀請讀者探索 TensorFlow 包之外的內容。這些包有很多不同之處。有些更專業，有些更不專業。有些比其他更難安裝。其中一些有很好的文檔，而另一些盡管運作良好，但更難找到如何使用它們的詳細信息。重要的是：之后的日子里，TensorFlow 由谷歌發布，我在推文 [49] 中讀到了 2010-2014 期間，新的深度學習包每 47 天發布一次，2015 年每 22 天發布一次。這很驚人，不是嗎？正如我在本書的第一章中提出的那樣，作為讀者的起點，可以在 Awesome Deep Learning [50] 找到一個廣泛的列表。毫無疑問，2015 年 11 月，隨著 Google TensorFlow 的發布，深度學習的格局受到影響，現在它是 Github 上最受歡迎的開源機器學習庫 [51]。請記住，Github 的第二個最著名的機器學習項目是 Scikit-learn [52]，事實上的 Python 官方的通用機器學習框架。這些用戶可以通過 Scikit Flow（skflow）[53] 使用 TensorFlow，這是來自 Google 的 TensorFlow 的簡化接口。實際上，Scikit Flow 是 TensorFlow 庫的高級包裝，它允許使用熟悉的 Scikit-Learn 方法訓練和擬合神經網絡。該庫涵蓋了從線性模型到深度學習應用的各種需求。在我看來，在 TensorFlow 分布式，TensorFlow 服務和 Scikit Flow 發布后，TensorFlow 將成為事實上的主流深度學習庫。深度學習大大提高了語音識別，視覺對象識別，對象檢測和許多其他領域的最新技術水平。它的未來會是什么？根據 Yann LeCun，Yoshua Bengio 和 Geoffrey Hilton 在 Nature 雜志上的精彩評論，答案是無監督學習 [54]。他們期望從長遠來看，無監督學習比監督學習更重要。正如他們所提到的，人類和動物的學習基本上沒有受到監督：我們通過觀察世界來發現它的結構，而不是通過被告知每個物體的名稱。他們對系統的未來進展有很多期望，系統將 CNN 與遞歸神經網絡（RNN）相結合，并使用強化學習。 RNN 處理一個輸入，該輸入一次編碼一個元素，在其隱藏單元中維護序列的所有過去元素的歷史的信息。對于 TensorFlow 中 RNN 實現的介紹，讀者可以查看 TensorFlow 教程中的循環神經網絡 [55] 部分。此外，深度學習還面臨許多挑戰；訓練它們的時間推動了新型超級計算機系統的需求。為了將最佳的知識分析與新的大數據技術和新興計算系統的強大功能相結合，以前所未有的速度解釋大量異構數據，仍然需要進行大量研究。科學進步通常是大型社區的跨學科，長期和持續努力的結果，而不是突破，深度學習和機器學習一般也不例外。我們正在進入一個非常激動人心的跨學科研究時期，其中像巴塞羅那那樣的生態系統，如 UPC 和 BSC-CNS，在高性能計算和大數據技術方面具有豐富的知識，將在這個新場景中發揮重要作用。 ## 參考 [[1]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref1)?? The MNIST database of handwritten digits. [Online].?Available at:[http://yann.lecun.com/exdb/mnist](http://yann.lecun.com/exdb/mnist)?[Accessed: 16/12/2015]. [[2]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref2)_? Github_, (2016) Fist Contact with TensorFlow. Source code?[Online]. Available at:[https://github.com/jorditorresBCN/TutorialTensorFlow](https://github.com/jorditorresBCN/TutorialTensorFlow)[Accessed: 16/12/2015]. [[3]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref3)_? TensorFlow Serving_[Online]. Available at:?[http://tensorflow.github.io/serving/](http://tensorflow.github.io/serving/)[Accessed: 24/02/2016]. [[4]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref4)? Google Research Blog [Online]. Available at:?[http://googleresearch.blogspot.com.es/2016/02/running-your-models-in-production-with.html?m=1](http://googleresearch.blogspot.com.es/2016/02/running-your-models-in-production-with.html?m=1)[Accessed: 24/02/2016]. [[5]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref5)_? TensorFlow Serving_-Architecture Overview[Online]. Available at:?[http://tensorflow.github.io/serving/](http://tensorflow.github.io/serving/)[Accessed: 24/02/2016]. [[6]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref6)??_TensorFlow Serving_– Serving a TensorFlow Model [Online].?Available at:[http://tensorflow.github.io/serving/serving_basic](http://tensorflow.github.io/serving/serving_basic)?[Accessed: 24/02/2016]. [[7]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref7)?TensorFlow, (2016) Download & Setup [Online]. Available at:?[https://www.tensorflow.org/versions/master/get_started/os_setup.html#download-and-setup](https://www.tensorflow.org/versions/master/get_started/os_setup.html#download-and-setup)[Accessed: 16/12/2015]. [[8]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref8)? Wikipedia, (2016). IPython. [Online]. Available at:?[https://en.wikipedia.org/wiki/IPython](https://en.wikipedia.org/wiki/IPython)?[Accessed: 19/03/2016]. [[9]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref9)? TensorFlow: Large-scale machine learning on heterogeneous systems, (2015). [Online]. Available at:[http://download.tensorflow.org/paper/whitepaper2015.pdf](http://download.tensorflow.org/paper/whitepaper2015.pdf)[Accessed: 20/12/2015]. [[10]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref10)?TensorFlow, (2016)_Python API – Summary Operations_. [Online].?Available at:[https://www.tensorflow.org/versions/master/api_docs/python/train.html#summary-operations](https://www.tensorflow.org/versions/master/api_docs/python/train.html#summary-operations)?[Accessed: 03/01/2016]. [[11]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref11)? I recommend using Google Chrome to ensure proper display. [[12]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref12)TensorFlow, (2016) TensorBoard: Graph Visualization.[Online].?Available at:[https://www.tensorflow.org/versions/master/how_tos/graph_viz/index.html](https://www.tensorflow.org/versions/master/how_tos/graph_viz/index.html)[Accessed: 02/01/2016]. [[13]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref13)?One reviewer of this book has indicated that he also had to?install the package_python-gi-cairo_. [[14]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref14)?Wikipedia, (2016). Mean Square Error. [Online]. Available at:?[https://en.wikipedia.org/wiki/Mean_squared_error](https://en.wikipedia.org/wiki/Mean_squared_error)?[Accessed: 9/01/2016]. [[15]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref15)? Wikipedia, (2016). Gradient descent. [Online]. Available at:?[https://en.wikipedia.org/wiki/Gradient_descent](https://en.wikipedia.org/wiki/Gradient_descent)?[Accessed: 9/01/2016]. [[16]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref16)? Wikipedia, (2016). Gradient. [Online]. Available at:?[https://en.wikipedia.org/wiki/Gradient](https://en.wikipedia.org/wiki/Gradient)[Accessed: 9/01/2016]. [[17]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref17)??_Github_, (2016) Book source code [Online].?Available at:[https://github.com/jorditorresBCN/TutorialTensorFlow](https://github.com/jorditorresBCN/TutorialTensorFlow). [Accessed: 16/12/2015]. [[18]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref18)?? TensorFlow, (2016) API de Python – Tensor Transformations?[Online]. Available at:[https://www.tensorflow.org/versions/master/api_docs/python/array_ops.html](https://www.tensorflow.org/versions/master/api_docs/python/array_ops.html)?[Accessed: 16/12/2015]. [[19]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref19)? TensorFlow, (2016) Tutorial – Reading Data [Online].?Available at:[https://www.tensorflow.org/versions/master/how_tos/reading_data](https://www.tensorflow.org/versions/master/how_tos/reading_data)[Accessed: 16/12/2015]. [[20]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref20)?_Github_, (2016) TensorFlow Book – Jordi Torres. [Online].?Available at:[https://github.com/jorditorresBCN/LibroTensorFlow/blob/master/input_data.py](https://github.com/jorditorresBCN/LibroTensorFlow/blob/master/input_data.py)[Accessed: 19/02/2016]. [[21]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref21)??_Github_, (2016) Shawn Simister. [Online]. Available at:?[https://gist.github.com/narphorium/d06b7ed234287e319f18](https://gist.github.com/narphorium/d06b7ed234287e319f18)?[Accessed: 9/01/2016]. [[22]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref22)? ?Wikipedia, (2016). Squared Euclidean distance. [Online].?Available at:[https://en.wikipedia.org/wiki/Euclidean_distance#Squared_Euclidean_distance](https://en.wikipedia.org/wiki/Euclidean_distance#Squared_Euclidean_distance)[Accessed: 9/01/2016]. [[23]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref23)??_In my opinion, the level of explanation of each operation it’s enough for the purpose of this book._ [[24]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref24)? TensorFlow, (2016) Python API. [online]. Available in:?[https://www.tensorflow.org/versions/master/api_docs/index.html](https://www.tensorflow.org/versions/master/api_docs/index.html)?[Accessed: 19/02/2016]. [[25]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref25)Actually “_” is like any other variable, but many Python users,?by convention, we use it to discard results. [[26]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref26)? Github, (2016) TensorFlow Book – Jordi Torres. [online].?Available at:?[https://github.com/jorditorresBCN/LibroTensorFlow](https://github.com/jorditorresBCN/LibroTensorFlow)?[Accessed: 19/02/2016]. [[27]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref27)?? TensorFlow, (2016) Tutorial MNIST beginners. [online].?Available at:[https://www.tensorflow.org/versions/master/?tutorials/mnist/beginners](https://www.tensorflow.org/versions/master/%C2%A0tutorials/mnist/beginners)[Accessed: 16/12/2015]. [[28]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref28)?? Neural Networks and Deep Learning.[Michael Nielsen](http://michaelnielsen.org/).?[online]. Available at:?[http://neuralnetworksanddeeplearning.com/index.html](http://neuralnetworksanddeeplearning.com/index.html)?[Accessed: 6/12/2015]. [[29]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref29)??? The MNIST database of handwritten digits.[online].?Available at:[http://yann.lecun.com/exdb/mnist](http://yann.lecun.com/exdb/mnist)?[Accessed: 16/12/2015]. [[30]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref30)??? Wikipedia, (2016). Antialiasing [online]. Available at:?[https://en.wikipedia.org/wiki/Antialiasing](https://en.wikipedia.org/wiki/Antialiasing)[Accessed: 9/01/2016]. [[31]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref31)_??? Github_, (2016) Book TensorFlow – Jordi Torres. [online].?Available at:[https://github.com/jorditorresBCN/LibroTensorFlow/blob/master/input_data.py](https://github.com/jorditorresBCN/LibroTensorFlow/blob/master/input_data.py)?[Accessed: 9/01/2016]. [[32]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref32)? ?Google (2016) TensorFlow. [online]. Available at:?[https://tensorflow.googlesource.com](https://tensorflow.googlesource.com/)[Accessed: 9/01/2016]. [[33]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref33)? Wikipedia, (2016). Sigmoid function [online]. Avaliable at:?[https://en.wikipedia.org/wiki/Sigmoid_function](https://en.wikipedia.org/wiki/Sigmoid_function)?[Accessed: 12/01/2016]. [[34]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref34)? Wikipedia, (2016). Softmax function [online]. Available at:?[https://en.wikipedia.org/wiki/Softmax_function](https://en.wikipedia.org/wiki/Softmax_function)?[Accessed: 2/01/2016]. [[35]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref35)? ?TensorFlow, (2016) Tutorial MNIST beginners. [online].?Available at:[https://www.tensorflow.org/versions/master/tutorials/mnist/beginners](https://www.tensorflow.org/versions/master/tutorials/mnist/beginners)[Accessed: 16/12/2015]. [[36]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref36)? Neural Networks & Deep Learning.[Michael Nielsen](http://michaelnielsen.org/). [online].?Available at:[http://neuralnetworksanddeeplearning.com/index.html](http://neuralnetworksanddeeplearning.com/index.html)[Accessed: 6/12/2015]. [[37]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref37)? TensorFlow Github: tensorflow/tensorflow/python/ops/gradients.py [Online]. ?Available at:[https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/ops/gradients.py](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/ops/gradients.py)[Accessed: 16/03/2016]. [[38]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref38)_? Github_, (2016) Libro TensorFlow – Jordi Torres. [online].?Available at:[https://github.com/jorditorresBCN/LibroTensorFlow](https://github.com/jorditorresBCN/LibroTensorFlow)[Accessed: 9/01/2016]. [[39]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref39)? The reader can read more about the details of these parameters on the course website of CS231 –_Convolutional Neural Networks for Visual Recognition_(2015) [online]. Available at:[http://cs231n.github.io/convolutional-networks](http://cs231n.github.io/convolutional-networks)[Accessed: 30/12/2015]. [[40]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref40)? GIMP –_Image processing software by GNU,_Convlution matrix documentation available at:[https://docs.gimp.org/es/plug-in-convmatrix.html](https://docs.gimp.org/es/plug-in-convmatrix.html)[Accessed: 5/1/2016]. [[41]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref41)? TensorFlow, (2016_) Tutorials: Deep MNIST for experts_. [on line]. Availbile at:[https://www.tensorflow.org/versions/master/tutorials/mnist/pros/index.html](https://www.tensorflow.org/versions/master/tutorials/mnist/pros/index.html)?[Consulted on: 2/1/2016] [[42]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref42)? TensorFlow, (2016)_Python API. ADAM Optimizer_[on líne]. Available at:[https://www.tensorflow.org/versions/master/?api_docs/python/train.html#AdamOptimizer](https://www.tensorflow.org/versions/master/%C2%A0api_docs/python/train.html#AdamOptimizer)[Accessed: 2/1/2016]. [[43]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref43)?_Github_, (2016) Source code of this book [on líne]. Availible at:?[https://github.com/jorditorresBCN/TutorialTensorFlow](https://github.com/jorditorresBCN/TutorialTensorFlow)?[Consulted on: 29/12/2015]. [[44]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref44)? ?TensorFlow, (2016) GPU-related issues. [online]. Available at:?[https://www.tensorflow.org/versions/master/get_started/os_setup.html#gpu-related-issues](https://www.tensorflow.org/versions/master/get_started/os_setup.html#gpu-related-issues)[Accessed: 16/12/2015]. [[45]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref45)? This output is result of using a server with 4 Tesla K40 GPUs from the[Barcelona Supercomputing Center (BSC-CNS)](http://www.bsc.es/). [[46]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref46)_? Github_(2016) AymericDamien. [online]. Available at:?[https://github.com/aymericdamien/TensorFlow-Examples](https://github.com/aymericdamien/TensorFlow-Examples)?[Accessed: 9/1/2015]. [[47]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref47)? Distributed TensorFlow, (2016) [online]. Available at:?[https://github.com/tensorflow/tensorflow/tree/master/tensorflow/core/distributed_runtime](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/core/distributed_runtime)[Accessed: 16/12/2015]. [[48]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref48)?_Github_, (2016) Source code of this book [on líne]. Availible at:?[https://github.com/jorditorresBCN/TutorialTensorFlow](https://github.com/jorditorresBCN/TutorialTensorFlow)?[Consulted on: 29/12/2015]. [[49]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref49)? Twitter (11/11/2015). Kyle McDonald:_2010-2014: new deep learning toolkit is released every 47 days.__2015: every 22 days._[Online]. Available at:[https://twitter.com/kcimc/status/664217437840257024](https://twitter.com/kcimc/status/664217437840257024)[Accessed: 9/01/2016]. [[50]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref50)??_GitHub,_(2016)_Awesome Deep Learning_. [Online]. Available at:?[https://github.com/ChristosChristofidis/awesome-deep-learning](https://github.com/ChristosChristofidis/awesome-deep-learning)[Accessed: 9/01/2016]. [[51]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref51)? Explore GitHub, Machine learning: [Online]. Available at:[https://github.com/showcases/machine-learning](https://github.com/showcases/machine-learning)?[Accessed on: 2/01/2016] [[52]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref52)? Scikit-Learn GitHub: [Online]. Available at:[https://github.com/scikit-learn/scikit-learn](https://github.com/scikit-learn/scikit-learn)[Accessed: 2/3/2016] [[53]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref53)? Tensorflow/skflow GitHub: [Online]. Available at:[https://github.com/tensorflow/skflow](https://github.com/tensorflow/skflow)[Accessed: 2/1/2016] [[54]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref54)? Yann LeCun, Yoshua Bengio and Geoffrey Hinton (2015). “Deep Learning”. Nature 521: 436–444 doi:10.1038/nature14539.? Available at:[http://www.nature.com/nature/journal/v521/n7553/full/nature14539.html](http://www.nature.com/nature/journal/v521/n7553/full/nature14539.html)??[Accessed: 16/03/2016]. [[55]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref55)? TensorFlow, (2016) Tutorial – Recurrent Neural Networks [Online]. Available at:[https://www.tensorflow.org/versions/r0.7/tutorials/recurrent/index.html](https://www.tensorflow.org/versions/r0.7/tutorials/recurrent/index.html)[Accessed: 16/03/2016]. [[56]](https://jorditorres.org/research-teaching/tensorflow/first-contact-with-tensorflow-book/first-contact-with-tensorflow/#_ftnref56)? Hello World en TensorFlow. Spanish version of this book [Online]. Available at:[https://jorditorres.org/libro-hello-world-en-tensorflow/](https://jorditorres.org/libro-hello-world-en-tensorflow/)[Accessed: 16/03/2016].