#4 MNIST Dataset with Individual Image Prediction Deep Learning Tensorflow AI Series
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- Опубліковано 10 лют 2025
- MNIST Data Set in Tensorflow Deep learning with single Individual images prediction on MNIST is also shown. Deep learning is Artificial Intelligence most advanced form. One Hot Encoding, Reshaping Data with dense layer and compilation model.complie steps. Training and testing through model.fit and model.evaluate Model Made from scratch and also showed accuracy in GPU TPU & CPU.
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Salam
Kesey hain app ?
Umeed ha kheriat sy hun gy
Aapki videos boht achi hain excellent work 👍🏻
Data science me apna career bnanna chahta hun per samjh ni aata kahan sy start lon
Plz guide karen kahan sy start up lon
Kon c playlist aapki kon c dekhon plz reply
Thanks
Walaikum Asalam, i m fine thanks how are you? thanks for appraisal.
aap Python Basic Playlist se start kjye. coding wali videos ki sath sath practice kjye. inshaAllah 2 Months me boht kuch seekh jayenge. Road map of Artificial Intelligence video dekhiye for complete guideline : ua-cam.com/video/nxo2ZY792O4/v-deo.html
@@FutureScope Thanks for reply
I'll follow your instructions
@@muhammadrehankhan8712 good luck bro
Sir behtreen MashaAllah ,Maza Agya 😀
Thanks Nisha
Thankioo Soo much sir bhttt achaa smjhany k liye you are the best teacher ❤️❤️❤️❤️❤️❤️
You r welcome ☺️
Awesome Video This video Made My mind toward AI
Haha thank you so much bro
MA SHA ALLAH SIR
Thanks
thanks alot sie
Pleasures. Glad to know it helped you out :)
Thank God
Pleasures
Thank you same much
Pleasures is mine bro 👍😊
Mashallah
Thank you
Nicely explain.please make a video in mode first feature digit for tampering detection and copy move forgery detection in digital images/videos
Sure i will try :)
When u try .I want to talk u.give ur contact number
@@smritiguleria4407 you can mesasge me on facebook page . link is in description
Sorry sir I m not in fb
I can MSG u on instagram
agayi agayi agayi video agayii....
Hahaha. Je Bhai. Enjoy practice n good luck. Kuch issue ho to poch ljyega.
Plzz sir guide me
Sir AI ka course mai mobile pa sekh sakta hu 2gbram and 16rom hai Samsung ke hai plzz sir or sir AI ka course sekh ka mai konsi online job karsakta hu or is.ka leya freelancing sekhna must hai toh sir woh kha sa sekhu???plzz reply.in details sir
Je google colab pe seekh sakte hein. Chrome browser pe khule ga us pe seekh sakte hein. Or phir upwork se projects krskte hein AI k. Or freelancing sekhna bhi must he.
Freelancing ka ek live session he Mera wo dekhye proper. Sekh jayenge freelancing ap ua-cam.com/video/N40Ub4hpsMA/v-deo.html Baqi common sense b hota he freelancing me
Thanku sir
But sir is ka leya sir kha sa start karu or sir kitna months average lagha gha sekhna mai??? Or sir projects toh mela gha na ai ka
@@foucsyourstudy6948 @foucs your study pleasures. aap road map of Artificial Intelligence Video dekhiye ua-cam.com/video/nxo2ZY792O4/v-deo.html us ki description me tamaam playlists hein sequence wise un ko follow kjye. ager aap roz 1 se 2 ghanta mehnat karte hein to 2 se 3 mahene lagenge. or my beloved bro bilkul milenge projects. InshaAllah
Thanku sir mai karta hu sir wesa koi asa banda hai jis na apka course dekh ka earning ke ho?
❤
Bahi jan jb ham train images show krwaty hen tu x,y jo ha iska wo 0 sy 25 tk ha dono ka ya kia scene ha
Bahi jan (60000,28,28)ya 60 hazar tu image ho gai aur 28 columna aur 28 rows hen kia sath inko jb 1d vector ma kia tu sari image 1 e. Vector ma ay gi.tu har image 28by 28 pixel ki ho gi aur x,y uska 0 to 255 tk ho gaa.kia aesy e ha..
je sahi samjhe hein aap thora me mazid explain kar deta hon. 60000 images 28 by 28 values ki hein. matlab 28 rows and 28 column her single image. to jab hum ne inko multiply karadia reshape krke to her image 1D vector ki hogaye. matlab 1 vector me 784 pixels hogaye 28x28 multiply karanay k baad. ye data dense layer me dalne ka tareeqa hota he .
Or jo images hein un ke color pixel 0 to 255 hein. to hum ne unko divide by 255 kardia is tarah saray pixels compress ho k 0 to 1 k beech me agaye is tarah jab data algorithm me jayega to machine pe kam laod ayega machine behtar prediction kar sakay gi due to less load of work. is liye divide by 255 karaya he :)
@@FutureScope bahi singal image ma 28rows 28 column hoty hen ya total sab data 28 rows 28 column ma hu ga .aur jb 784 krdia jay ga tu akelii 1 picture 784 pixel ki ho gi hena .
Bahi (train_images,train_labels)(test_ images,test labels) mnist .load data () iska mtlb smjha den mujy smjh ni ah rhi 10 dafa videos dekh li ha bahi ..aur 0 to 255 value jo ha ya x,y tareeky sy lgii ho gii pic pr
aap is ko mnist.load.data() = (train_images,train_labels)(test_ images,test labels) aisy bhi likh sakte hein. is ka matlabh ye he k Mnist se data load karo (Mnist k under 4 types ka data rakha wa he) us ko hum ne in 4 variables me save kara dia he. varaibles k name hein train_images, train_labels, test_ images, test labels. Jab hamary pas ziada types ka data hota he to us ko load kara k save karanay ka tareeqa ye hota he bro.
dosra 0 to 255 se divide is liye karaya he k colors k numbers hotay hein 0 to 255 tk. to humne jab divide kia to saray numbers 0 to 1 k beech me agaye. is se hamary model ko kaam karne me asani hoti he. machine p load kam ata he. ye sab choti choti tricks hoti hein. this is it. InshaAllah mazid agay chalenge to ye sari chize kar kar k aap ka confidence or concepts mazid clear honge. :)
@@FutureScope shukryia bahi jan
explain kr smjhany k lia
Sir g kafi kuch smj ma aya kafi kuch nai b aya ..jo ya class function lgaya tha apny ya phtyon jesa tu ni tha change tha
Bro ye built-in Class he. Matlab Hume banani ni he is class ko. Main thing is aap ko pata chal gia ye lagti kese he or kaam kese karti he. This is the main point.
Is code ko 3 4 dafa khud likh k chalayye u will get the confidence InshaAllah 👍
@@FutureScope ok sir g ..
@@muneebjaved3940 is video ki practice k baad message me on facebook page . link can be found in description
@@FutureScope sir g ap view e ni krty fb pr kry thy 1 2 message apko
sir please fake faces ko detect krna sikha den
Sir g hmny output kia dia thaa ..
Jo labels the na images ki wo output tha. During training hum ne images di as input or labels gaye as output.
Sir g lkn shoru ma hmny images ko label ma save krwaya thaa phr 1d vector bnaya tha phr structure khara kr k baki kaam krwaya ..tu jb images ko label ma krdia save tu images kesy input ma dia hmny wo as a label q ni gaya
Aur sir g end pr jhaha prediction krwai hmny waha reshape kr usy wapis 2d vector ma ly ay tu usk sath neechy 1d vector waly line q likhii
Dekhen bro train_images (ye training Input tha) train_labels( ye training output tha) labels to already 1d vector tha. Hum ne train_images ko 1d vector kia sirf. Dono ko milaya nahi he kahi bhi. Index wise jaha jaha images hein Waha waha us image ka label b he. To milaya to kahi ni he bro images n labels ko
@@FutureScope sai sir g