�ݺ�ߣshows by User: MyungyonKim

�ݺ�ߣshows by User: MyungyonKim / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: MyungyonKim / Wed, 14 Mar 2018 11:57:01 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: MyungyonKim Deep Learning and Tensorflow Implementation(딥러닝, 텐서플로우, 파이썬, CNN)_Myungyon Kim_SNU_SHRM /slideshow/deep-learning-and-tensorflow-implementationmyungyon-kimsnushrm/90637782 2016-180314115702
Deep learning and Tensorflow implementation 2016.11.16 Feature Engineering Deep Neural Network Tensorflow Tensorflow Implementation Future works References This slides deals with several things about deep learning. ex) History of Deep learning, Several difficulties and breakthroughs. Things related to deep learning such as activation functions, perceptrons, Backpropagation, pre-train, drop-out, Convolutional Neural Network (CNN), Simple implementation of Tensor Flow, Python, and so on. 딥러닝, 기계학습, 머신러닝, 텐서플로우, 파이썬 ]]>
Deep learning and Tensorflow implementation 2016.11.16 Feature Engineering Deep Neural Network Tensorflow Tensorflow Implementation Future works References This slides deals with several things about deep learning. ex) History of Deep learning, Several difficulties and breakthroughs. Things related to deep learning such as activation functions, perceptrons, Backpropagation, pre-train, drop-out, Convolutional Neural Network (CNN), Simple implementation of Tensor Flow, Python, and so on. 딥러닝, 기계학습, 머신러닝, 텐서플로우, 파이썬 ]]> Wed, 14 Mar 2018 11:57:01 GMT /slideshow/deep-learning-and-tensorflow-implementationmyungyon-kimsnushrm/90637782 MyungyonKim@slideshare.net(MyungyonKim) Deep Learning and Tensorflow Implementation(딥러닝, 텐서플로우, 파이썬, CNN)_Myungyon Kim_SNU_SHRM MyungyonKim Deep learning and Tensorflow implementation 2016.11.16 <Cotents> Feature Engineering Deep Neural Network Tensorflow Tensorflow Implementation Future works References This slides deals with several things about deep learning. ex) History of Deep learning, Several difficulties and breakthroughs. Things related to deep learning such as activation functions, perceptrons, Backpropagation, pre-train, drop-out, Convolutional Neural Network (CNN), Simple implementation of Tensor Flow, Python, and so on. 딥러닝, 기계학습, 머신러닝, 텐서플로우, 파이썬 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2016-180314115702-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Deep learning and Tensorflow implementation 2016.11.16 Feature Engineering Deep Neural Network Tensorflow Tensorflow Implementation Future works References This slides deals with several things about deep learning. ex) History of Deep learning, Several difficulties and breakthroughs. Things related to deep learning such as activation functions, perceptrons, Backpropagation, pre-train, drop-out, Convolutional Neural Network (CNN), Simple implementation of Tensor Flow, Python, and so on. 딥러닝, 기계학습, 머신러닝, 텐서플로우, 파이썬

Deep Learning and Tensorflow Implementation(딥러닝, 텐서플로우, 파이썬, CNN)_Myungyon Kim_SNU_SHRM from Myungyon Kim

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