This is presentation for Natural Language Processing open seminar in Kookmin University.
The open seminar reference : https://cafe.naver.com/nlpk
My presentation about how to use tensorflow for NLP open seminar for newbies for tensorflow.
10. First all, Let’s see example about define and run.
11. Suppose Tensorflow implements + operation(2 + 3 = 5).
You can evaluate your model of the Computational Graph by tf.Session.
The computational graph is evaluated by calling run() method of tf.Session.
22. Eager execution has a benefit that all the functionality of the host language is available while your
models is executing as follows.
23. During eager execution, you can use tf.GradientTape to trace operations for computing gradient
later.
24. Traditional Machine Learning and Deep Learning have Learning part.
But, here we automatically generate data and learn the regression model both normal one and
neural network.
25. what kind of cost function is when you learn regression model?
26. How to learn the model on what kind of update function.