Train Neural Network by loading your images |TensorFlow, CNN, Keras tutorial

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This is the tutorial is for crating your a neural network and training with your own photos. I have used tensorflow keras and ImageDataGenerator to build this neural network. All data labeling is done with help of ImageDataGenerator . convolutional neural network with max pooling and dense layers is used for building up the model.
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Опубликовано:

8 май 2020

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Комментарии : 490

@whenmathsmeetcoding1836 3 года назад

if you liked the content please support by subscribing 😇 1. here is the video for multiclass:---- ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-1Gbcp66yYX4.html 2. here is video for object detection with tensorflow:----- ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-_TCUPl3j2kI.html 3. here is video for object detection with YoloV3:------ ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-zm9h4mYymk0.html

@samesho7190 3 года назад

Great tutorial!!! thanks. Here, I noticed you didn't normalize your test data, don't you think this might have had a negative impact on your prediction in some way? Since your model was trained and evaluated on normalized data. Although at 1st glance it doesn't seem so.

@muhammadtalha2493 3 года назад

Hello sir, How to upload only one data set folder like chech happy or not no need to check the saad, just happy folder so what channges i have to make in code

@muhammadtalha2493 3 года назад

i need to check weather this is a plant leaf or not for my semester project so it will alot of help if you tell the code for single data set that the given image is the same or not in testing

@bibhuprasaddora1776 3 года назад

Bro please give the code lines link

@camilo40 3 года назад

Hi, we use the same pictures in training and validation? or we use diferent?

@danielpinto1628 3 года назад

You know, here in Brazil us IT people praise IT people from your region.

@imanqoly Год назад

This is most awesome and most humble tutorial I've ever seen. Despite many other tuts that more like "watch me code" and throwing a line of code with complex variable naming to show off. Thank you.

@pronoybiswas3810 2 года назад

This is the exact tutorial I am looking for. Thank you very much. You described all the steps in the most simplified way. This tutorial will help me a lot in my project so thank you again.

@yepnah3514 3 года назад

oh god, i spent HOURS trying to figure out my errors. you helped in five minutes!

@Sehmiconductor Год назад

Thank You bro. After building 3 models I forgot the most basic thing, prediction on single random image file. Your video solved my issue. Much love from my side.

@TrendingHashtags-bt7tz 4 месяца назад

Crystal clear implementation of CNN

@user-kq5cd7bd3o 3 года назад

The first working tutorial!!! Thanks a lot

@sanskritisrivastava2242 2 года назад

Excellent tutorial😍 can’t thank you enough!🙌🏻🔥

@120_sagarikadeb8 3 года назад

This is the best video that I have come so far. Thank you so much Sir!!

@sergiocorrea7889 2 года назад

Thanks a lot , this is exactly what i was looking for. Great job man!

@EternalNoobCoder Год назад

Exactly what I was looking for. Wonderful video and well explained. Thank You ❤️❤️❤️

@sarveshsant5614 2 года назад

Thanks, Man for explaining this in the easiest way🙌

@KaveeshaNanayakkara99 Год назад

The best video ever for a person who studies deep learning and cnn ❤😍🔥

@chrisber 2 года назад

This is an excellent tutorial, thank you so much!

@cassiemst4993 3 года назад

Thank you much for the video!! i really enjoy it and helped me a lot to understand more about CNN

@jitensethi4668 3 года назад

Sir I don't know how to express my feelings u are great ❤️❤️ keep going sir

@nonig249 3 года назад

After being stuck a whole day, I prayed for wisdom and bumped into your video. You are an answered prayer. Very grateful for your content. Keep at it. #NewSub

@whenmathsmeetcoding1836 3 года назад

You are so welcome

@kajalyadav4246 Год назад

Amazing !! True life saviour. I was looking for exactly the same.

@adamcalleja9815 5 месяцев назад

great job explaining it, you're a great teacher

@salsabilashraf3713 Год назад

Thank you so much for this video. Cannot appreciate enough!

@carloseduardoa.marchiori5598 Год назад

Amazing job! Thank you so much for that

@nurulizzahluthfiahnur1122 3 года назад

Thankyou so much, its really help me, i can use my own image and its awesome

@wafazouari7065 3 года назад

you are a wonderful human being

@aimanjavid8441 2 года назад

Superb... No word for thanks and appraisal . good keep it up

@CarlosRincon 3 года назад

Nice video! thanks man!

@JeevaSivalingam 5 месяцев назад

Excellent ji.Really very good explanation with real time image's 🎉🎉🎉

@nikethatharangi857 11 месяцев назад

this tutorial is really good. thank you so much

@rvrocks1000 2 года назад

Very well explained and to the point

@LeenaGurgPhysics 3 года назад

Your video is very good. I found it extremely useful. Maybe you could rethink the tags for your video so that it shows up quickly in the search.

@jhin5588 2 года назад

i love you sir, you making it work. So much thanks!

@sanskritisrivastava2242 2 года назад

wonderful tutorial. Thankyou so much. Just one request, Can you pls make a tutorial on how to evaluate this model by confusion matrix,F1score etc?

@eugenesergio 3 года назад

Love this!

@martinhaas4955 3 года назад

Very interesting video, helped me a lot !

@rhk1991 3 года назад

Ty for this video, you help me a lot rn.

@kelvinkipsang3600 Год назад

Very useful and great job, thanks you so much

@SportSync_official 2 года назад

Legend, thanks for explaining. i am finally able to put everything i learned about this in practice thanks :)

@ousmanealamakaba3135 2 года назад

hi brother i am confused . i need your help .this lab is important to me?

@prikarsartam Год назад

thanks, this helped me!

@muhammadahmadessa9584 Год назад

always the low quality videos that are the best out there

@neilsumanth8013 3 года назад

Thank you very much for this kind of good explanation!

@whenmathsmeetcoding1836 3 года назад

You are welcome!

@telabela007 2 года назад

Simply Superb. 🙏🙏

@anahitabh9649 2 года назад

Amazing,thank you very much

@kishorkandpal3427 3 года назад

Great, Jay

@James-mu6th Год назад

Thx, this is what i looking for.

@faku09kpo 2 года назад

very useful! thank u so much ;)

@sharveensmith9947 3 года назад

Pls do a tutorial for using and training datasets for Mask RCNN as well, your videos helped alot

@jameslucas8369 8 месяцев назад

this is the best video ,cong2ln broo

@mageshdanani 3 года назад

Great bro ...!!! Very good explanation with appropriate pace ...!! Thank you bro !!

@whenmathsmeetcoding1836 3 года назад

Glad you liked it!

@peterslater2914 3 месяца назад

Excellent video thanks alot.

@viranchivedpathak4231 2 года назад

Thanks! Very useful

@richardmkechera8461 2 года назад

waoooh ,this is amazing ,thank you brother

@mamunhasan8898 5 месяцев назад

thanks a lot for your help

@joaofonseca528 3 года назад

Hello, This helped me a lot but One question what chances would you make if we introduced a third output lets say neutral. Thanks

@siddhantmanna4809 2 года назад

Thanks bro, really helped

@veronicanatividade 2 года назад

Thank you so so much!!!

@BoneCrushGaming 2 года назад

lol... the Neural Network did a good job classifying whether you are happy or not because honestly, I couldn't even tell.

@rankonanamokoena312 2 года назад

Awesome content

@bryan_dx 2 года назад

Excellent I just finished it and it recognized most of my images (maybe could it have recognized everyone if I had used more images for training), thanks a lot.

@gedekresna3237 2 года назад

there's no "basedata/test" folder isnt it? how you can finished it?

@sakinamosavi1104 3 года назад

I really enjoyed. Thanks Sir!!!

@whenmathsmeetcoding1836 3 года назад

Glad you enjoyed it!

@calvinatuhaire3116 Год назад

great tutorial, could you kindly show how to display the results with a confusion matrix?

@amessit10 2 года назад

too good!!

@thisaragamage5485 Год назад

thanks bro huge help

@vibhashreehippargi8233 Год назад

Thanks a lot for the amazing video. I tried it out for healthy and diseased plants, it looks like it wrongly identified few. Should i put them back in training folder and re-run everything again? Please suggest.

@akshaysharmaa7 3 года назад

A very nice and informative video sir. Thank yoU !!

@whenmathsmeetcoding1836 3 года назад

So nice of you

@sudhakarp1 3 года назад

Very neat explanation, thanks for the video

@whenmathsmeetcoding1836 3 года назад

Glad it was helpful!

@WAWASAMBHUWARA 2 года назад

Hello, thank you for this good example. I want to ask, how many photo that are good to train, develop, and test? because I can't find the dataset that I'm looking for, thankyou!

@aishaakram4270 2 года назад

Thankyou so much for the explanation but I need to train a model for my face recognition project can you please guide how do I train the model for face recognition on both RGB and grey channel. And how can I structure my dataset either multiple folders of people or else?

@rogermillamilla3913 2 года назад

good job thanks yes i did

@saadalamgir6225 2 года назад

Model is overfitting and you are happy that ist giving 100% accuracy. OMG

@vaibhavkatiyar7356 2 года назад

Good Job

@AshishKumar-dl2mc 3 года назад

Respect🙌

@vandeindia5955 3 года назад

Really helpful sir :)

@suruchisinha5952 3 года назад

Hi Jay, thanks for the video. I am here share an issue while training my CNN model (multi-data classifier) on Face Emotion Data . For a specific value of epochs it train a specific class(s), correctly. Can I have a different number of epochs for different classes if yes, how?

@mayankpatil7303 2 года назад

Thank you sir!

@shahmahdi5279 Год назад

Thank you so much

@surajwagh3654 Год назад

Supperb 👍

@leratomotsei3780 3 года назад

Wow!!! Beautiful and educational indeed. How can I have this dataset file, for example, saved and load it say on OpenCV?

@kanzoni81 3 года назад

Need help with ValueError: logits and labels must have the same shape ((None, 512) vs (None, 1))

@the_new_horizon_17 Год назад

Thank you sir.

@guhanesvarmanikandan8769 4 года назад

it really helps thank you so much

@whenmathsmeetcoding1836 3 года назад

Glad to hear that!

@TechnoArky 3 месяца назад

awesome

@lalithavanik5022 3 года назад

Thank you for your valuable information sir

@whenmathsmeetcoding1836 3 года назад

Thanks and welcome

@monarch6t9 Месяц назад

🥰🥰 bhai maja agya thank you vmro

@ancientgear7192 9 месяцев назад

Very helpfull tutorial. I have some questions though. Shouldnt all the images of the dataset be the same dimensions before we use them? how can i create a confusion matrix?

@omeshamendis966 2 года назад

Hello sir I have a question instead of binary if we have multiple choices to check what is the command we need to use

@shilpsshilpa1285 3 года назад

should v need put images in all folders? like testing - in happy 5 images and unhappy 5 images? same for validation too? but high no. of images in training

@Footballer10309 2 года назад

Thankyou so much 😍😍

@guilhermepereira163 6 месяцев назад

You are awesome

@Moahid6 3 года назад

working well, Thank a lot

@whenmathsmeetcoding1836 3 года назад

Glad to hear that

@nurulizzahluthfiahnur1122 3 года назад

Thankyou so much, its really help me

@whenmathsmeetcoding1836 3 года назад

Most welcome 😊

@sanjaypatil-jq8dh 3 года назад

Hello nice video..:) 2 questions: 1. Since you have 19 unhappy photos how does batch(3) work here? 2. Diff. btw batch_size and steps per epoch?

@TheBlackNight971 3 года назад

what did u put inside validation folder?

@serenataylor8534 2 года назад

i am reading a research paper on the visual with CNN. The size of the images is 250*500. The paper used CNN with 100 kernels of size 10*20 for 1st conv layer and 100 kernels of size 20*30 for 2nd layer. Can you expain abit of this as it is not clear to me why the chosen size..what is the effect of the huge filter size

@REDROSE-be3br 2 года назад

Please make videos like this more

@rahulhalder4501 2 года назад

Thanks bro ❤️

@muslumyildiz5694 2 года назад

Thank you

@mdyounusahamed6668 Год назад

Thanks.

@merveozdas1193 3 года назад

Why did you need to image to csv?And for example I am going to classify the direction that I am looking at. (eye movements:Right,left,up,down)I am gonna use webcam. Can you show me how to test data which I classify at webcam?