Upload File

deep learning

1
What is deep understanding? Remembering pieces of factual information alone is not deep understanding. To have deep understanding is to be able to put the pieces together and to use such understanding to do things (e.g., solve problems, create new ideas etc). The table below shows you some of the things you should be able to do if you have deep understanding (compare with “surface” understanding) of a topic. Description of some actions associated with deep understanding Factual recall Listing of pieces of information in unrelated manner. This is not deep understanding! Contrast Show the important difference between things. Compare Show how things are alike or not alike Explain Give the meaning of a topic clearly. Relate Show that the ideas are connected to each other. Analyze Examine in detail the elements of a topic and how they relate to each other. Apply Make use of specific knowledge or concepts to solve a problem. Reflect Show new understanding of something by studying past experience. Generalize Draw a general conclusion from a number of facts. Recommend Suggest what is appropriate to do base on a critical evaluation of available information. Hypothesize Propose an idea which can be used as a starting point for further study. Theorize Form general principles of an art or science. You can only catch small fish at the surface. Therefore, think deep! Surface Deep Qualitative Quantitative Factual Relational Extended Identify Recall Enumerate Describe List Combine Do algorithms Compare Contrast Explain Analyze Interpret Relate Apply Create Criticize Design Theorize Generalize Hypothesize Reflect

Upload: dervinvictorianobremont

Post on 20-Feb-2016

212 views

Category:

Documents


0 download

Report

DESCRIPTION

Entre otros requerimientos, debe cargar contenidos que no estén en Scribd y debe contar con autorización para usarlos. La mejor manera de asegurarse de que los contenidos que carga cumplen con las normas de calidad es cargar algo que haya escrito usted mismo, que siempre será aceptado.

TRANSCRIPT

Page 1: Deep Learning

What is deep understanding?

Remembering pieces of factual information alone is not deep understanding. To have deep understanding is to be able to put the pieces together and to use such understanding to do things (e.g.,

solve problems, create new ideas etc).

The table below shows you some of the things you should be able to do if you have deep

understanding (compare with “surface” understanding) of a topic.

Description of some actions associated with deep understanding

Factual recall Listing of pieces of information in unrelated manner. This is not deep

understanding!

Contrast Show the important difference between things.

Compare Show how things are alike or not alike

Explain Give the meaning of a topic clearly.

Relate Show that the ideas are connected to each other.

Analyze Examine in detail the elements of a topic and how they relate to each other.

Apply Make use of specific knowledge or concepts to solve a problem.

Reflect Show new understanding of something by studying past experience.

Generalize Draw a general conclusion from a number of facts.

Recommend Suggest what is appropriate to do base on a critical evaluation of available

information.

Hypothesize Propose an idea which can be used as a starting point for further study.

Theorize Form general principles of an art or science.

You can only catch small fish at the surface. Therefore, think deep!

Surface Deep

Qualitative Quantitative

Factual Relational Extended

Identify Recall

Enumerate Describe List

Combine Do algorithms

Compare Contrast Explain Analyze Interpret Relate Apply

Create Criticize Design Theorize Generalize Hypothesize Reflect

Deep Learning in real world @Deep Learning Tokyo

Executing Deep Learning Strategies Masterclass Preview - Enterprise Deep Learning

From Reinforcement Learning to Deep Reinforcement …fagostin/assets/files/...Keywords: Machine learning · Reinforcement learning Deep learning · Deep reinforcement learning 1 Introduction

Deep Learning - Oxford Statisticspalamara/teaching/SML19/HT19_lecture15.pdf · SB2b/SM4 - Deep Learning Deep Learning Infrastructure! Computational Infrastructure critical to deep

Deep Learning Lab Course 2017 (Deep Learning …ais.informatik.uni-freiburg.de/teaching/ws17/deep...Deep Learning Lab Course 2017 (Deep Learning Practical) Labs: (Computer Vision)

Deploying Enterprise Deep Learning Masterclass Preview - Enterprise Deep Learning

Introduction to Deep Learning - Joyce Hojoyceho.github.io/cs534_s17/slide/25-deep-learning.pdf · Deep Learning: Overview ... Review: Backpropogation https: ... • Deep Learning

Lecture 1: Introduction to Deep Learning - uvadlc.github.io · Lecture 1: Introduction to Deep Learning Efstratios Gavves. UVA DEEP LEARNING COURSE UVA DEEP LEARNING COURSE –EFSTRATIOS

Deep Learning Early Work Why Deep Learning Stacked Auto Encoders Deep Belief Networks CS 678 – Deep Learning1

Binary Deep Learning - TAUweb.eng.tau.ac.il/.../wp-content/uploads/2017/03/Binary-Deep-Learning.pdf · Binary Deep Learning Deep Learning Seminar, School of Electrical Engineering,

20151216 Computer Vision Meetup Deep Learning Deep Learning - Rene...Deep Learning . René Donner Deep Learning Overview 2 ... coursera ... 20151216 Computer Vision Meetup Deep Learning

NPDL Global Report - New Pedagogies for Deep Learning · Deep Learning 7 The 6Cs 7 Deep Learning Progressions 9 Impact 16 Key Findings: Deep Learning 18 New Pedagogies 19 Learning

Hangzhou Deep Learning Meetup-Deep Reinforcement Learning

Deep Learning - South Dakota State UniversityDeep Learning Deep learning (also known as deep structured learning, hierarchical learning or deep machine learning) is a branch of machine

Introduction to Deep Learning - Computer Graphics€¦ · Introduction to Deep Learning CS468 Spring 2017 Charles Qi. What is Deep Learning? Deep learning allows computational models

Demystifying Deep Learning - MathWorks · Demystifying Deep Learning. 2 What’s Deep Learning and why should I care? A practical approach to Deep Learning (for images) –Transfer

UNSUPERVISED DEEP LEARNING - TAUweb.eng.tau.ac.il/.../uploads/2016/12/Unsupervised-Deep-Learning.pdf · UNSUPERVISED DEEP LEARNING Erez Aharonov Noam Eilon Deep Learning Seminar School

Learning Deep Learning

Deep Learning for Reinforcement Learning in Pacman · Deep Learning for Reinforcement Learning in Pacman Deep Learning für Reinforcement Learning in Pacman Vorgelegte Bachelor-Thesis

An Introduction to Deep Learning · Deep Learning An Introduction to ... •Deep Learning •Feed Forward Network •Problems of Deep Learning •AutoEncoders •Restricted Boltzmann

Intro to Deep Learning - bpTT Bright Minds … · 17/08/2020  · Intro to Deep Learning Deep Sequence Modeling Deep Computer Vision Deep Generative Modeling Deep Learning Applications

Introducing Deep Learning with MATLAB - Systematics · Introducing Deep Learning with MATLAB6 Inside a Deep Neural Network ... Deep learning is a subtype of machine learning. With

Lecture 3: Deep Learning Optimizations - GitHub Pagesuvadlc.github.io/lectures/nov2019/lecture3.pdf · Lecture 3: Deep Learning Optimizations Deep Learning @ UvA. UVA DEEP LEARNING

Deep learning / representation learning

THE DEEP LEARNING REVOLUTION - Nvidia...THE DEEP LEARNING REVOLUTION Superhuman Breakthroughs in Modern Artificial Intelligence Powered by GPUs JOIN THE DEEP LEARNING ERA DEEP LEARNING

Deep Learning with H2O - University of Idahostevel/504/Deep Learning with...Deep Learning with H2O. . 4Deep Learning Overview Unlike the neural networks of the past, modern Deep Learning

Tutorial: Deep Reinforcement Learning - Machine Learning ...hunch.net/~beygel/deep_rl_tutorial.pdfTutorial: Deep Reinforcement Learning - Machine Learning

fast.ai - Learning Deep Learning

Deep materials informatics: Applications of deep learning in … · deep learning: † Deep learning requires big data: In many cases, the biggest limiting factor for applying deep

Tutorial: Deep Reinforcement Learning · Outline Introduction to Deep Learning Introduction to Reinforcement Learning Value-Based Deep RL Policy-Based Deep RL Model-Based Deep RL

Introducing Deep Learning with MATLAB - MathWorks · Introducing Deep Learning with MATLAB7 How A Deep Neural Network ... relevant features of an image. With deep learning, ... Deep

CS 678 – Deep Learning1 Deep Learning Early Work Why Deep Learning Stacked Auto Encoders Deep Belief Networks

Deep Learning I - Korea Universitydsba.korea.ac.kr/wp/wp-content/seminar/Deep learning/Deep Learning... · Deep Learning I Deep learning is research on learning models with multilayer

Lecture 1: Introduction to Deep Learning · uva deep learning course –efstratios gavves introduction to deep learning - 1

Deep Learning for Reinforcement Learning in · PDF fileDeep Learning for Reinforcement Learning in ... Deep Learning for Reinforcement Learning in Pacman Deep Learning für ... Während