<p><img src="https://data-sci.info/wp-content/uploads/2017/06/Screenshot-from-2017-06-22-22-46-42.png" width="961" height="543"/></p><p>Chip Huyen's CS20SI at Stanford: Tensorflow for Deep Learning Research</p><p>TensorFlow is open source tools developed by a group of Google Brain researchers and engineers. It is a deep neural networks framework, mainly to build up data flow graphs to deal with numerical operation.</p><p>Tensorflow for Deep Learning Research is covering complicated RNN, LSTM in natural language processing, CNN in computer vision applications as well as a small part of Reinforcement Learning.</p><p>This class also invited other speakers to explain Convolutional Neural Network, such as Justin Johnson (Stanford Vision Lab) and Lukasz Kaiser (Google Brain)</p><p>This course begins with TensorFlow's foundation for deep learning, with the goal of getting students to understand the concept of the computational graph behind Tensorflow and the architecture.</p><p>Unfortunately, youtube video is not complete, but all the notes and Slides can be downloaded. Github also have a lot of example implementation in Chatbot and Style Transfer. If you want to learn TensorFlow, Here is the path.</p><p>Syllabus : <a href="http://web.stanford.edu/class/cs20si/syllabus.html"></a><ins>http://web.stanford.edu/class/cs20si/syllabus.html</ins></p><p>Github : <a href="https://github.com/chiphuyen/tf-stanford-tutorials"></a><ins>https://github.com/chiphuyen/tf-stanford-tutorials</ins></p><p>Youtube lecture video : <a href="https://www.youtube.com/playlist?list=PLIDllPt3EQZoS8gCP3cw273Cq9puuPLTg"></a><ins>https://www.youtube.com/playlist?list=PLIDllPt3EQZoS8gCP3cw273Cq9puuPLTg</ins></p><p><br/></p><p><ins>Follow me, resteem and upvote for more deep learning resource!</ins></p>