Recurrent neural networks (RNN) adalah jenis arsitektur jaringan saraf tiruan yang cocok dipakai untuk pemrosesan data sekuensial. RNN masuk dalam kategori deep learning karena pemrosesan data melalui banyak lapisan (layer).
These notes are taken from the first two weeks of Convolutional Neural Networks course (part of Deep Learning specialization) by Andrew Ng on Coursera. The course is actually four weeks long, but I didn't take the note for the last two weeks which discuss about object localization/detection, face recognition, and neural style transfer. ~ Why... Continue Reading →
These are the notes that I wrote while attending the first three courses from Deep Learning Specialization program at Coursera. I you have attended/are attending the Deep Learning Specialization program, this note would straight away look familiar to you. So here it goes. ~ Representation and Notations These are the conventions used throughout the course. L... Continue Reading →
These are the notes that I took while reading Sutton's "Reinforcement Learning: An Introduction 2nd Ed" book and it contains most of the introductory terminologies in reinforcement learning domain. Definitions and equations are taken mostly from the book. Equations are numbered using the same number as in the book too to make it easier to find.
This is the lecture notes from Intro to Descriptive Statistics course (lihat reviewnya di sini). Most of the material here was taken from the course and original lecture notes, which can be found here: Intro to statistical research methods (Lesson1.PDF) Visualizing Data (Lesson2.PDF) Central Tendency (Lesson3.PDF) Variability (Lesson4.pdf) Standardizing (Lesson5.pdf) Normal Distribution (Lesson6.pdf) Sampling Distributions (Lesson7.pdf) Please do... Continue Reading →