Machine Learning 2020 - 國立臺灣大學
•Math: Calculus (微積分), Linear algebra (線性代數) and Probability (機率) •Programming •All the assignments have sample codes based on Python. •You need to be able to read and modify the sample codes. This course will not teach Python. •Only focus on ML. This course will not teach any Python package, except PyTorch.
Tags:
Linear, Algebra, Linear algebra
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
Documents from same domain
You can listen to the English version of this course at ...
speech.ee.ntu.edu.tw•Math: Calculus (微積分), Linear algebra (線性代數) and Probability (機率) •Programming •All the assignments have sample codes based on Python. •You need to be able to read and modify the sample codes. This course will not teach Python. •This course will not teach any Python package, except PyTorch. •Only focus on ML.
Introduction of Reinforcement Learning - 國立臺灣大學
speech.ee.ntu.edu.twScenario of Reinforcement Learning Agent Environment Observation Action Don’t do Reward that State Change the environment
Introduction, Learning, Reinforcement, Reinforcement learning
Self-supervised Learning
speech.ee.ntu.edu.tw•Corpus of Linguistic Acceptability (CoLA) •Stanford Sentiment Treebank (SST-2) •Microsoft Research Paraphrase Corpus (MRPC) •Quora Question Pairs (QQP) ... Sentiment analysis Random initialization Init by pre-train This is the model to be learned. this is good
Analysis, Learning, Self, Supervised, Pruco, Sentiment, Sentiment analysis, Self supervised learning
Convolutional Neural Network - 國立臺灣大學
speech.ee.ntu.edu.twFully Connected Feedforward network output. ... object detection and semantic segmentation”, CVPR, 2014. Convolution Max Pooling Convolution Max Pooling input 25 3x3 filters 50 3x3 ... “Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps”, ICLR, 2014 | ...
Network, Fully, Segmentation, Neural, Convolutional, Convolutional networks, Semantics, Convolutional neural networks, Semantic segmentation
Transformer
speech.ee.ntu.edu.twBeam Search A B A B A B A B A B A B A B 0.4 0.9 0.9 0.6 0.4 0.4 0.6 0.6 The green path is the best one. Not possible to check all the paths … Assume there are only two tokens (V=2). The red path is Greedy Decoding. →Beam Search
Machine Learning PyTorch Tutorial - 國立臺灣大學
speech.ee.ntu.edu.twPyTorch Tutorial TA:張恆瑞 (Heng-Jui Chang) 2021.03.05. Outline Prerequisites What is PyTorch? PyTorch v.s. TensorFlow Overview of the DNN Training Procedure ... C++, JavaScript, Swift Debug Easier Difficult (easier in 2.0) Application Research Production. Overview of the DNN Training Procedure Define Neural Network Loss Function Optimizer ...
Convolutional Neural Network - 國立臺灣大學
speech.ee.ntu.edu.twConvolutional Neural Network (CNN) Network Architecture designed for Image 1. Image Classification Model ... Benefit of Convolutional Layer Fully Connected Layer •Some patterns are much smaller than the whole image. Receptive Field …
Network, Neural, Convolutional, Convolutional neural networks
AUTO-ENCODER
speech.ee.ntu.edu.twVincent, Pascal, et al. "Extracting and composing robust features with denoising autoencoders." ICML, 2008. Add noises The idea sounds familiar? ☺ ...
Feature, With, Robust, Extracting, Composing, Autoencoder, Denoising, Extracting and composing robust features with denoising autoencoders
Generation - NTU Speech Processing Laboratory
speech.ee.ntu.edu.twminimize cross entropy = class 1 class 2 Train a binary classifier . Discriminator ... Image Style Transfer Domain Domain ... Unsupervised Conditional Generation . Learning from Unpaired Data Network 70 Domain Domain ...
Generation, Cross, Image, Domain, Unsupervised, Domain domain
Hung-yi Lee 李宏毅 - 國立臺灣大學
speech.ee.ntu.edu.twVector Set as Input 10ms 25ms 400 sample points (16KHz) 39-dim MFCC 80-dim filter bank output frame 1s →100 frames 4
Related documents
II PU Midterm Exam Syllabus November 2021
www.jaincollege.ac.inII PU Midterm Exam Syllabus – November 2021 ... Linear Programming BIOLOGY 1: Reproduction in Organisms 2: Sexual Reproduction in Flowering Plants ... Ch.2 Boolean algebra Ch.3 Logic Gates Ch.4 Data structures (Arrays, Stacks) Ch.5 Review of C++ covered in FirstPUC Ch.6 OOP concepts Ch.7 Classes and objects Ch.8 Function Overloading, Inline ...
Algebra 1 Midterm Review
www.bcit.ccAlgebra 1 – Midterm Review ... your exam. Absolute value Boundary Coefficient Consistent Inconsistent Direct variation equation Intersection Union Linear regression Linear extrapolation Point-slope form Slope-intercept form Standard form Slope Vertical Line test . Author: Rachel
Linear Algebra in Twenty Five Lectures
www.math.ucdavis.eduA Sample Midterm I Problems and Solutions211 ... solutions as well as a sample nal exam. There are also a set of ten on-line assignments which are usually collected weekly. The rst assignment 8. ... \Linear Algebra and Its Applications", David C. Lay, Addison{Weseley 2011.
DISCRETE MATHEMATICS FOR COMPUTER SCIENCE
courses.cs.duke.eduExaminations. There will be a final exam (covering the material of the entire semester) and two midterm. The weighting of participation, exams, and homework used to determine your grades is class participation 10%, homework 30%, midterms 30%, final 30%. Homework. We have six homeworks scheduled throughout this semester, one per main topic ...
Syllabus - CSE 6040x: Intro to Computing for Data Analysis ...
courses.edx.orgMidterm 1: 10% Midterm 2: 15% Final exam: 25% Due date convention. For all assignments with due dates are due at 11:59 UTC. Here is a handy online tool, the Time Zone Converter. Late policy. For your lab notebooks, you get three “late passes.” That is, you may
Convolutional Neural Networks for Visual Recognition
cs231n.stanford.eduTake home 24hr Midterm Exam: 15% Course Project: 35% - Project Proposal: 1% - Milestone: 2% - Video presentation: 10% - Project Report: 22% Participation Extra Credit: up to 3% Late policy - 4 free late days – use up to 2 late days per assignment - Afterwards, 25% off per day late - No late days for project report
Network, Exams, Visual, Recognition, Neural, Convolutional, Midterm, Midterm exam, Convolutional neural networks for visual recognition
You can listen to the English version of this course at ...
speech.ee.ntu.edu.tw•Math: Calculus (微積分), Linear algebra (線性代數) and Probability (機率) •Programming •All the assignments have sample codes based on Python. •You need to be able to read and modify the sample codes. This course will not teach Python. •This course will not teach any Python package, except PyTorch. •Only focus on ML.
Linear Algebra and Differential Equations Alexander Givental
math.berkeley.eduForeword To the student: The present text consists of 130 pages of lecture notes, including numerous pictures and exercises, for a one-semester course in Linear Algebra and Differential