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Technical Peaks
Пакистан
Добавлен 21 мар 2020
The Complete Courses of Mechanical Engineering will be available soon. We are uploading the videos one by one. We are trying to explain all the topics conceptually as clearly as possible.
Train CNN with MATLAB in 5 minutes #(Step by Step)
Train CNN with MATLAB in 5 minutes #(Step by Step)
This tutorial shows how to train deep learning network in MATLAB. Image classification with convolutional neural network CNN in MATLAB is performed with Deep Network Designer app and toolbox. Instead of using complex neural network code you can follow these simple steps to train any pre-trained CNN architecture with increased accuracy and model performance.
This tutorial shows how to train deep learning network in MATLAB. Image classification with convolutional neural network CNN in MATLAB is performed with Deep Network Designer app and toolbox. Instead of using complex neural network code you can follow these simple steps to train any pre-trained CNN architecture with increased accuracy and model performance.
Просмотров: 286
Видео
Exponential Smoothing Forecasting Approach. Lecture # 11
Просмотров 17 тыс.4 года назад
This lecture is about the forecasting technique called Exponential Smoothing Approach. We introduce a constant called smoothing constant alpha. And provide the fraction of the error to the future demand. Ft = F(t-1) a(A(t-1) - F(t-1)) Topics: 0:00 Introduction to exponential smoothing technique 2:29 Equation for exponential smoothing 5:50 Example solved using exponential smoothing
Naive, Moving Average, Weighted Moving Average (Forecasting Techniques) Lecture # 10
Просмотров 79 тыс.4 года назад
This lecture explains the first three forecasting techniques. These approaches will help us in prediction of the future demands. The example that we took was from seasonal variations. We tried to explain the three main approaches. 0:00 Introduction to types of forecasting 1:39 Naive Approach 4:43 Moving Average Approach 6:22 two months moving average 10:10 three months moving average 12:58 Weig...
Components of Time Series (Trends, Seasonal, Cyclic and Random variations) Lecture # 09
Просмотров 21 тыс.4 года назад
0:00 Components of time series This lecture explains the basics of the forecasting techniques. The understanding of these components is very important before moving directly into the prediction of the future demands. 0:50 Trends Trend shows the increase or decrease in the overall demand. So, it remains a straight line with increase or decrease in time. 2:23 Seasonal Variations Seasonal variatio...
Center Of Gravity Method for "Minimum Distribution Cost" Lecture # 07
Просмотров 3,1 тыс.4 года назад
This lecture describes the technique for finding the location for the minimum cost of distribution of products. This method is known as Center of Gravity Method because it brings the effect of all locations of markets and finds us the centre for our warehouse, storage or industry for the minimum cost. 0:00 Introduction to Center of gravity method 1:08 cost of distribution 2:24 Example minimum c...
Minimising the Handling Cost in "Process Oriented Layout. Lecture # 08
Просмотров 16 тыс.4 года назад
0:00 Process Oriented Layout 0:52 Introduction to handling cost 3:33 Equation for handling cost 6:08 Problem/Example 6:45 Number of units table 14:24 Problem Conditions 18:10 solution to the problem 20:16 Initial cost calculations 24:17 Minimizing the handling cost 28:42 Minimized handling cost Calculation ▶A machine shop, consisting of 6 distinct production areas is planning to redesign its la...
Locational Break-Even Analysis. Lecture # 06.
Просмотров 14 тыс.4 года назад
This lecture is about finding the location for the minimum cost for a certain number of units. We might have different locations in our view for selection based on the cost involved. And for selection of a single location we need to consider the number of units we are willing to produce. Because we might have to have more cost for one location at a certain location. And changing the location we...
Factor Rating Method for location selection. Lecture # 05.
Просмотров 28 тыс.4 года назад
This lecture is about the selection of location using Factor Rating Method. We must have a number of factors that are required for the project or production. Each of those factors must have a certain value of importance. And based on that importance we have to provide them with a factor from the scale selected. We generally select the scale form (0-1) or from 0 to 100. Sum of all the factors or...
Electromechanical System Modeling DC Motor. Lecture # 11
Просмотров 12 тыс.4 года назад
This lecture is about modeling of the electromechanical systems. In the previous lectures we found the mathematical model electrical systems as well as mechanical systems. Electromechanical system is the combination of both of these systems. And we use these models for finding the mathematical model of electromechanical systems. As an example we are using a DC motor and trying to model it. The ...
Network Diagram for Activity On Node (AON) and Activity On Arrow (AOA) Technique.
Просмотров 18 тыс.4 года назад
There are two basic techniques to draw a network diagram for the activities of a project once their precedences are known. AON - Activity on Node technique. AOA - Activity on Arrow Technique. There is not much difference between them. But in AON we represent the activity by the Node. While in AOA technique we represent the Activity on Arrow. We also have to use the dummy activity at certain pla...
Antenna Position control with closed loop control system Lecture # 03
Просмотров 8 тыс.4 года назад
In this video we tried to explain the mechanism for controlling the position of the antenna by using closed loop feedback control loop. We provide the input by rotating the knob of the potentiometer to our desired angle and as a result we get the output to be the rotation of the antenna to that set desired position. We also explained all the parts conceptually to be very much clear. The working...
Thank you so much my college teacher also explaining this question in class but I didn't get the single thing which he was trying to explain but you explain it in very easy way
Appreciate your support
Very good stuff, can i please have access to the hidden videos for the Antenna Position control with closed loop control system Lecture please?
I am watching before 6 hour of the exam❤
Best of luck!!
% Specify the image data directories trainDataDir = 'Dataset/Training'; valDataDir = 'Dataset/Validation'; testDataDir = 'Dataset/Testing'; % Define the image data generators trainData = imageDatastore(trainDataDir, ... 'IncludeSubfolders',true, ... 'LabelSource','foldernames'); valData = imageDatastore(valDataDir, ... 'IncludeSubfolders',true, ... 'LabelSource','foldernames'); testData = imageDatastore(testDataDir, ... 'IncludeSubfolders',true, ... 'LabelSource','foldernames');
Thank you!
Can you please share the code importing the images in matlab workspace?
Okay. Please check the pinned comment.
I like it. Thank you for such a wonderful explanation sir
Wooooow this helped alot
How you ploted the grah on which basis?
The x is number of products produced. Y is cost for producing x products
On what value didnu plot the graph? How u take it out? Thr x coordinates
The x is number of products produced. Y is cost for producing x products
Your teaching is very bad. cannot be understood anything
Maybe you need some help
Bro why am i studying this when i am not even a science student 😭😭
Have an exam in 6 hours.. thank you very much
Glad I could help!
thnkuuu sirrr 🫡
Too much repetition
You sound like my Research Supervisor 😅
Sir english na bolaa kro😢 baqi sai h
Hhh... Okay 👌
👍🏼
its definitely worth it. thankyou so much.
Appreciate your support
Just watching this 5 mins before exam thanks bro
I hope your exam did go well.
Thankyou brother
You are Welcome!
Thank you
Appreciate your support
Thank you sir from sri lanka
Appreciate your support 👍
Thank you sir.from sri lanka..
Thank you so much ❤️❤ Peace be unto you sir❤🇿🇲🇿🇲🇿🇲🇿🇲
Appreciate your support 👍
Thank you so much!
Welcome!
From India and doing masters in economics your video's is so helpful to get to learn basic concepts of time series ❣️
I am glad to be of help! Best wishes for your Economics 🌻
MERA TU X=73.33 ARAHA HY SITE X CORDINATE Y CORDINATE OUTPUT X x Q A 30 20 2000 60000 B 90 110 1000 90000 C 130 130 1000 130000 D 80 40 2000 160000 6000 440000 = 73.33333333
thank you now i understand the difference
Welcome 🤗
Excellent lecture sir
Thanks. Appreciate your support
bhai jb english m dikkat h to hindi m hi bnalo video
Use subtitles please
Sir, If I am doing double exponential smoothing 5 period moving average with a software program--after 5 period exponential moving average is calculated say (X) does computer do second calculation with data X and (X-t1) (X-t2) (X-t3) (X-t4)- - - - forgive me,I went to college 50 years ago..(X-t1) is exponential moving average one period prior & so on.
Hi. Navketan, I couldn't quite understand.
For exponential smoothing, we need the difference of previous period Actual and predicted, combining with moving average of five periods.
hello please can you make the other videos public @technical peaks
Hi, Jason. I wish I could, but they are too long. That's why they get very few views. I'll make them shorter before I make them public again
X asix answer will be 73.3
Thanks for pointing it out! I'll double check and pin a comment if required!
You are good teacher 👍
Thank you! 😃
Thank you so much, your explanation is much more understandable than my phd.professor! Great job !
Glad it was helpful!
So true! Will support you by subscribing and sharing it with my fellows!
Now I understand better. Thanks
Happy to help
Sir mene exam me A,B,C location thi Usme Location C best suitable aayi par mene Location C 1st position Location B 2nd position and Location C 3rd position kar diya To marks katenge kya ??
It depends on your professor how he considers it. Wish you all the best 🤞
@@technicalpeaks Thanks Sir
Thank you sir👍🌿
Appreciate your support 🤗
Ab or video lao sir
Mtlb??
@@technicalpeaks videos or management ke topic pe banao
I have 15 years temperature data. I can I determine the trend temperature by using multiple regression?
Yes. You can create trend using yearly average but temperature is seasonal so, I would go for monthly averages. And create seasonal or cyclic variations. Linear or non linear regressions can assist in creating trends for such a data!
@@technicalpeaks I appreciate your help. How can I create seasonal variation at a given temperature data? please send me your email I send one year data
I have one question how to a form product dd for the least period is given below period dd period 1,2,3,4,5,6,7,8,9 dd 44,52,50,54,55,55,60,56,62 develop a linear trend equation ,predict the dd value for the next period and find the regression equation solution
Thank you so much I have one question how to a form product dd for the least period is given below period dd period 1,2,3,4,5,6,7,8,9 dd 44,52,50,54,55,55,60,56,62 develop a linear trend equation ,predict the dd value for the next period and find the regression equation
This is a least squares method problem
I can see at least 2 mistakes in the second matrix
Can you please mention them! I would appreciate it!
Nice one and God bless you richly sir
Appreciate your support 🌻🌻
thank you, that was way helpful to understand the problem if possible make a video of how to automate the process of minimizing the cost (using metaheuristic optimization technique) thanks again you are awesome
Excellent videos, keep up the good work mate!
Really appreciate your support 🌻🌻
What factors could you use to derive a suitable alpha, could you please do a lecture on alpha selection, many thanks
Well explained, thanks so much
I am glad you liked it. 🌻🌻
hello is this example connected to the previous topic?
Yes. This is another technique commonly used for forecasting. I made it separately because the concept is a little different from the rest!
thanks alot
Always welcomed!
Thank u soooo much , you helped me🙏🏻
I am glad to be of help! Please do subscribe! Would help me a lot!