Lab activity visual presentations-1 Name:B.Saritha Assoc. Professor - PowerPoint PPT Presentation

Dec 14, 2022 •461 likes •505 views

Lab activity visual presentations-1 Name:B.Saritha Assoc. Professor Affiliation: RC1529 MVSR Engineering College Domain: Computer Science and Engineering Subject : Back Propagation neural Network Lab activity visual presentations-2

Lab activity visual presentations-1 Name:B.Saritha Assoc. Professor Affiliation: RC1529 MVSR Engineering College Domain: Computer Science and Engineering Subject : Back Propagation neural Network
Lab activity visual presentations-2 Reflection Spot: In the process of defining NN model using back propagation algorithm at what point we can stop the iteration.
Lab activity visual presentations-3 1. There is feedback in final stage of back propagation algorithm? [ ] a. yes b. No Answer : b Explanation : No feedback is involved at any stage as it is a FFNN.
Lab activity visual presentations-3 2. What are the general tasks that are performed with back propagation ? [ ] a. pattern matching. b. functional approximation c. Prediction d. All Answer : d Explanation: a, b & c can be performed with back propagation algorithm

Download Presentation

Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend

The graph is always greener on the other side graphing and visuals tips, and what to avoid

The graph is always greener on the other side graphing and visuals tips, and what to avoid Stephen Ketcham Summary Focus for this presentation on visuals (graphs, charts, tables) : Whats effective, whats not (the visuals purpose)

379 views • 21 slides

VIS ISUALS IN IN TH THE CL CLASSROOM Inmaculada Torres Aguilar 12 INDE DEX

VIS ISUALS IN IN TH THE CL CLASSROOM Inmaculada Torres Aguilar 12 INDE DEX 1.INTRODUCTION: THE HE IMPORTANCE OF OF VI VISUALS ACTIVITY 1: Description of a picture (picture) ACTIVITY 2: The parts of the body (wall chart) ACTIVITY 3:

332 views • 12 slides

o Use cartoons if they enhance the mood you aim to create or relieve the strain of painful

Presentations creating the right visuals Helen Kelly You dont need lots of images; you need the right ones. Heres how to create them. 1 Why visuals? The correct function of images is to tell your story in alternate form. With the

500 views • 5 slides

Practicing For Your Presentation Use Visual Aids! But Dont abuse your visuals aids

Practicing For Your Presentation Use Visual Aids! But Dont abuse your visuals aids Whatever your visuals may be, keep them simple and dont put too many words on them. The audience isnt there to read your slides, they are

402 views • 4 slides

Effective Presentation and Visuals for PowerPoint: PowerPoint can be an effective visual tool to

Effective Presentation Visuals in PowerPoint Effective Presentation and Visuals for PowerPoint: PowerPoint can be an effective visual tool to present material to your audience. At the same time, it can be a distraction to your students when used

271 views • 10 slides

Z A INSPIRED BY VARIOUS LANGUAGES & CULTURES VISUALS FOR EACH TERM INSPIRED BY ANOTHER

Z A INSPIRED BY VARIOUS LANGUAGES & CULTURES VISUALS FOR EACH TERM INSPIRED BY ANOTHER LANGUAGE OR CULTURE ORGANISED SEQUENCE, NOT RANDOM ZASLONKA APERTURE diameterof200mmcircle dividedbythef/number DECIDED ON AN

440 views • 16 slides

Lecture #1: Data, Summaries, and Visuals CS 109A: Introduction to Data Science Pavlos Protopapas

Lecture #1: Data, Summaries, and Visuals CS 109A: Introduction to Data Science Pavlos Protopapas and Kevin Rader 1 Lecture Outline: Data, Summaries, and Visuals What are Data? Data Exploration Descriptive Statistics

718 views • 61 slides

PLEASE AVOID THE USE OF COLORED BACKGROUNDS WHEN MAKING VISUALS -- WHITE BACKGROUNDS ARE

SPEAKER REGISTRATION AT IVEC 2020 All speakers are required to pay registration fees. On-line registration or a downloadable registration form will soon be available on the IVEC 2020 conference website. PREPARATION OF VISUALS At the Conference,

324 views • 3 slides

1 Review agenda Different focus; more visuals; back to basics; more engaging (we hope!)

1 Review agenda Different focus; more visuals; back to basics; more engaging (we hope!) Introductions Everyone; welcome to the newbies 2 3 4 Note online lists are often open after the phone lines close; direct clients to check. 5

824 views • 81 slides

McCanns Oatmeal Irish Heritage Ad Campaign Tie Original Tie New Information and visuals

McCanns Oatmeal Irish Heritage Ad Campaign Tie Original Tie New Information and visuals are organized in proximity to each other. The black and antique white adds an old-fashion feel while providing great contrasts. Repetition is

476 views • 9 slides

From numbers to words to visuals: Storytelling your research Ya-Ling Lu, PhD, Informationist NIH

From numbers to words to visuals: Storytelling your research Ya-Ling Lu, PhD, Informationist NIH Library Show Me the Numbers Conference University of Maryland, College Park October 12, 2017 Researchers often Give speaks about their research

898 views • 52 slides

Visuals for COS PT speech 1. Normalised Train Withdrawals 2. Expenditure on Repair and

Visuals for COS PT speech 1. Normalised Train Withdrawals 2. Expenditure on Repair and Maintenance 3. 3. Key Changes to OPS Key Changes to OPS 4. Increase in Rail Capacity (appear and hide: Giant Tunnel Boring Machine) 5. Doubling Rail

186 views • 16 slides

words? Now complete activity 1 Use this to help complete activity 2 Now complete activity 2 To

What is meant by word class? Here are some examples: Noun adjective verb Can you think of any more types of words? Now complete activity 1 Use this to help complete activity 2 Now complete activity 2 To uplevel a sentence is to

1.41k views • 120 slides

FDP101X October 2018 DAY 2: ACTIVITY 2 DAY 2: ACTIVITY 2 PEER ASSESSMENT ACTIVITY BY DR.

FDP101X October 2018 DAY 2: ACTIVITY 2 DAY 2: ACTIVITY 2 PEER ASSESSMENT ACTIVITY BY DR. SACHIN H. DHANANI RC1092 K.I.T.S COLLEGE OF ENGINEERING Introduction To Ordinary Differential Equations by Dr. Sanjeev Kumar View the the following

357 views • 4 slides

Course Evaluations 1. More examples This was the top request 2. Visuals/diagrams 3. Extra

Course Evaluations 1. More examples This was the top request 2. Visuals/diagrams 3. Extra resources Problem sets Content from the the web Course Evaluations 4. Too fast topics seem to get left behind pretty fast topics build

433 views • 21 slides

YOU BETTER BELIEVE IT! How to Create Visuals Blending Purpose and Humor Benton Crane, CEO Harmon

YOU BETTER BELIEVE IT! How to Create Visuals Blending Purpose and Humor Benton Crane, CEO Harmon Brothers ABOUT HARMON BROTHERS Over 1.5 Billion views & $400 Million in sales FACEBOOK STUDY On average, people spend 1.7 seconds viewing a

181 views • 14 slides

IMPLEMENTATION OF A PARALLEL BATCH TRAINING ALGORITHM FOR DEEP NEURAL NETWORK YUPING LIN IFLYTEK

IMPLEMENTATION OF A PARALLEL BATCH TRAINING ALGORITHM FOR DEEP NEURAL NETWORK YUPING LIN IFLYTEK LABORATORY FOR NEURAL COMPUTING FOR MACHINE LEARNING DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE YORK UNIVERSITY, TORONTO NOVEMBER

211 views • 20 slides

Road Scene Understanding Presented by: Mohamed Mohsen Agenda Problem Definition Currently

Road Scene Understanding Presented by: Mohamed Mohsen Agenda Problem Definition Currently existing solutions Thesis statement Questions to answer Introduction about deep learning Problem Definition Detect roads with and

674 views • 14 slides

r

r s r r tr

507 views • 38 slides

Binarized Neural Network to Compress DNN Xianda ( Bryce ) Xu xxu373@wisc.edu November 7th Why

Using Binarized Neural Network to Compress DNN Xianda ( Bryce ) Xu xxu373@wisc.edu November 7th Why is model compression so important ? Problem 1 : Computation Cost A = ( X i W T + B ) Multiplication is energy & time consuming !

297 views • 10 slides

Convolutional Neural Networks for Image Classification Dan C. Cirean , Ueli Meier, Jonathan

Flexible, High Performance Convolutional Neural Networks for Image Classification Dan C. Cirean , Ueli Meier, Jonathan Masci, Luca M. Gambardella, Jrgen Schmidhuber IDSIA, USI and SUPSI Manno-Lugano, Switzerland

475 views • 15 slides

Lo Local Im Image Pri riors for Automatic Im Image Colorization with Simultaneous Cla lassifi

Le Let th there be Color!: Jo Joint End-to to-end Le Learning of f Global and Lo Local Im Image Pri riors for Automatic Im Image Colorization with Simultaneous Cla lassifi fication Satoshi Iizuka, Edgar Simo-Serra, Hiroshi Ishikawa

525 views • 50 slides

Deep Learning of Binary Hash Codes for Fast Image Retrieval Kevin Lin, Huei-Fang Yang, Jen-Hao

Deep Learning of Binary Hash Codes for Fast Image Retrieval Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, Chu-song chen Yahoo! Taiwan CVPR 2015 2016. 11. 6. 1 Index Review Background & Motivation Method Experiment

542 views • 32 slides

CHAPTER IX IX CHAPTER Radial Basis Function Networks Radial Basis Function Networks CHAPTER IX

Ugur HALICI - METU EEE - ANKARA 12/12/2005 CHAPTER IX IX CHAPTER Radial Basis Function Networks Radial Basis Function Networks CHAPTER IX : IX : Radial Basis Function Networks Radial Basis Function Networks CHAPTER Introduction Radial

309 views • 8 slides