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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[@whenmathsmeetcoding1836]

if you liked the content please support by subscribing 😇
1. here is the video for multiclass:---- th-cam.com/video/1Gbcp66yYX4/w-d-xo.html
2. here is video for object detection with tensorflow:----- th-cam.com/video/_TCUPl3j2kI/w-d-xo.html
3. here is video for object detection with YoloV3:------ th-cam.com/video/zm9h4mYymk0/w-d-xo.html

[@samesho7190]

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]

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]

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]

Bro please give the code lines link

[@camilo40]

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

[@danielpinto1628]

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

[@pronoybiswas3810]

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.

[@imanqoly]

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.

[@TrendingHashtags-bt7tz]

Crystal clear implementation of CNN

[@yepnah3514]

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

[@user-kq5cd7bd3o]

The first working tutorial!!! Thanks a lot

[@EternalNoobCoder]

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

[@120_sagarikadeb8]

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

[@sanskritisrivastava2242]

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

[@sergiocorrea7889]

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

[@Sehmiconductor]

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.

[@sarveshsant5614]

Thanks, Man for explaining this in the easiest way🙌

[@chrisber]

This is an excellent tutorial, thank you so much!

[@madhumithaaas]

Life saver, Was working on a college level project where i had to create my own dataset with small size and was searching N number of videos on them but failed every time, Your video made me to complete the process in a very short time Thankyou so much

[@KaveeshaNanayakkara99]

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

[@nonig249]

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]

You are so welcome

[@cassiemst4993]

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

[@kajalyadav4246]

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

[@adamcalleja9815]

great job explaining it, you're a great teacher

[@jitensethi4668]

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

[@salsabilashraf3713]

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

[@carloseduardoa.marchiori5598]

Amazing job! Thank you so much for that

[@nurulizzahluthfiahnur1122]

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

[@wafazouari7065]

you are a wonderful human being

[@aimanjavid8441]

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

[@JeevaSivalingam]

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

[@James-mu6th]

Thx, this is what i looking for.

[@nikethatharangi857]

this tutorial is really good. thank you so much

[@rvrocks1000]

Very well explained and to the point

[@jhin5588]

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

[@SportSync_official]

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

[@ousmanealamakaba3135]

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

[@CarlosRincon]

Nice video! thanks man!

[@kelvinkipsang3600]

Very useful and great job, thanks you so much

[@prikarsartam]

thanks, this helped me!

[@neilsumanth8013]

Thank you very much for this kind of good explanation!

[@whenmathsmeetcoding1836]

You are welcome!

[@martinhaas4955]

Very interesting video, helped me a lot !

[@rhk1991]

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

[@mageshdanani]

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

[@whenmathsmeetcoding1836]

Glad you liked it!

[@anahitabh9649]

Amazing,thank you very much

[@mamunhasan8898]

thanks a lot for your help

[@siddhantmanna4809]

Thanks bro, really helped

[@sanskritisrivastava2242]

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?

[@LeenaGurgPhysics]

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.

[@peterslater2914]

Excellent video thanks alot.

[@richardmkechera8461]

waoooh ,this is amazing ,thank you brother

[@sakinamosavi1104]

I really enjoyed. Thanks Sir!!!

[@whenmathsmeetcoding1836]

Glad you enjoyed it!

[@sudhakarp1]

Very neat explanation, thanks for the video

[@whenmathsmeetcoding1836]

Glad it was helpful!

[@faku09kpo]

very useful! thank u so much ;)

[@jameslucas8369]

this is the best video ,cong2ln broo

[@telabela007]

Simply Superb. 🙏🙏

[@joaofonseca528]

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

[@akshaysharmaa7]

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

[@whenmathsmeetcoding1836]

So nice of you

[@viranchivedpathak4231]

Thanks! Very useful

[@muhammadahmadessa9584]

always the low quality videos that are the best out there

[@thisaragamage5485]

thanks bro huge help

[@veronicanatividade]

Thank you so so much!!!

[@rogermillamilla3913]

good job thanks yes i did

[@eugenesergio]

Love this!

[@sharveensmith9947]

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

[@bryan_dx]

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]

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

[@surajwagh3654]

Supperb 👍

[@suruchisinha5952]

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?

[@guhanesvarmanikandan8769]

it really helps thank you so much

[@whenmathsmeetcoding1836]

Glad to hear that!

[@shahmahdi5279]

Thank you so much

[@lalithavanik5022]

Thank you for your valuable information sir

[@whenmathsmeetcoding1836]

Thanks and welcome

[@BoneCrushGaming]

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

[@rankonanamokoena312]

Awesome content

[@calvinatuhaire3116]

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

[@the_new_horizon_17]

Thank you sir.

[@WAWASAMBHUWARA]

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!

[@kishorkandpal3427]

Great, Jay

[@monarch6t9]

🥰🥰 bhai maja agya thank you vmro

[@vibhashreehippargi8233]

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.

[@fayezsaeed7991]

Thank you for this good video
I have one question, in the 'Validation' folder which images did you put?
are they from train group or test group?

[@whenmathsmeetcoding1836]

I had less no of images but yes you should keep all different images in three folders..

[@plavali_znaem]

Got the same question. Did you figure this out? Is that so that I have to save my images to all 6 folders: 2 folders - happy / unhappy -- in every of 3 folders: test, train, validation?

[@vaibhavkatiyar7356]

Good Job

[@nurulizzahluthfiahnur1122]

Thankyou so much, its really help me

[@whenmathsmeetcoding1836]

Most welcome 😊

[@vandeindia5955]

Really helpful sir :)

[@sanjaypatil-jq8dh]

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?

[@Moahid6]

working well, Thank a lot

[@whenmathsmeetcoding1836]

Glad to hear that

[@leratomotsei3780]

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

[@saadalamgir6225]

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

[@aishaakram4270]

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?

[@mayankpatil7303]

Thank you sir!

[@muslumyildiz5694]

Thank you

[@TechnoArky]

awesome

[@mdyounusahamed6668]

Thanks.

[@saritham3610]

Thank you very much. You made my day .I am happy to learn. Sir please upload more videos. Can you please send me code for model evaluation for same program

[@whenmathsmeetcoding1836]

Yes, sure

[@kanzoni81]

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

[@rahulhalder4501]

Thanks bro ❤️

[@omeshamendis966]

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

[@amessit10]

too good!!

[@user-ze6yf9hv9s]

thanks brother

[@thanhlongnguyen3454]

very nice video, good job bro

[@whenmathsmeetcoding1836]

Thank you 👍

[@ancientgear7192]

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?

[@prathameshekal7308]

Thanks

[@Footballer10309]

Thankyou so much 😍😍

[@shilpsshilpa1285]

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

[@tomasprager4347]

Thank you, you are rly master

[@whenmathsmeetcoding1836]

Glad it helped

[@xXMaDGaMeR]

you are amazing ! Have one issue at end, after teaching model on 4 classes i am having error testing i.e. predict, says array is not real something like this (use a.all() or a.any() )