Image Classification using CNN Keras | Full implementation

[@Bbb78651]

Thank you so much, brother, for this STELLAR series on CNNs. Without a doubt, the BEST on KZbin. Your efforts do not go unnoticed. Please keep making high quality content. Cheers from Austin, Texas!

[@CodingLane]

Hey… thanks a lot for this. I really appreciate it!! 🤗

[@pavanrshetty5087]

The quality of content, simplicity in the explanation, teaching from the basics, explanation of the dimensions and model architecture parameters; everything about the playlist is so amazing. Great job man!! Playlist suggestion: 1D CNN on time series data passing big window-sized data (time dimension) along with a multi-headed neural network targeting classification and regression simultaneously is something I would love to see.

[@ks3356]

Wonderfully explained. Just finished watching all the 12 videos from your playlist.....

[@diggdeeperr]

The bg made me realize that you are from SVNIT , btw great content sir

[@sphoorthy7978]

After searching a lot I came across this video. This was very clear and easy. Thanks a lot

[@CodingLane]

Happy to help 🤗

[@joshr168]

This is MUCH easier to understand than the elite university certificate program I am currently in for Deep Learning.

[@adithyasureshkumar7523]

Explaining everything from the basics is extremely useful...especially in deep learning.

[@CodingLane]

Happy to help!

[@careercom9485]

How can I get code

[@engr.inigo.silva2000]

Brother, this video has been an enormous help to me. I'm doing my thesis to get the Mechatronic engineering degree on DL, which is how to be a specialist in AI in postgraduate. Greetings from Mexico.

[@CodingLane]

Greetings! Glad it was helpful to you 😇

[@bhavyasaisrikasetti2768]

At 6:33 when i am running it i am getting black images no the image of dog or a cat how to resolve it can anyone tell

[@jannahmahmoud6047]

This is one of the best explanations i just finished the whole playlist thank you so much for your efforts

[@CodingLane]

Glad it was valuable 😇

[@djordjetosic4553]

Maybe best explanation on YT on this topic, i am looking at hours of content and this 18 min video helped me a ton, Thank you!

[@manjuladas]

gotit... I usually don't comment but this video definitely deserve a round of applause... You have explained it the best possible way. Many thanks! 🙂

[@CodingLane]

Thank you so much… it means a lot to me.

[@mayaambalapat3671]

Thank you so much for your efforts. It is the best playlist explaining CNN

[@CodingLane]

Thank you so much!

[@kamronbeksolih3285]

Thanks for your effort and time in creating such great content. I have completed the whole playlist and learned the fundamentals of NN. Thanks again! Keep creating, teaching and sharing:)

[@vipulpampattiwar7381]

No one can give that much amount of Explaination thank you🙏🙏🙏

[@sayedikramulhaqbanuree6923]

That's amazing the way you have thought all the playlist was outstanding, really helped me and cleared lots of my confusions Respect from Afghanistan

[@xfregas2682]

man your videos are absolutely crazy good. I love your teaching style. I hope you will keep going. :)

[@CodingLane]

Thank you so much! Appreciate your comment

[@sachinkapase9218]

@@CodingLane hey buddy, great video. please make video on TFOD installation in local system for object detection as I haven't found any specific video on KZbin

[@Aditya-zv5et]

i watched your entire playlist its pretty amazing the way you have explained everything it went in my mind without any resistance.... thanks a lot its a great help....... You are really good at teaching keep it up 🔥🔥😍😍

[@smile93]

Saras bhanave 6 bhai tu.....gamyu ane avdyu badhu video joine.......

[@CodingLane]

Thank you bhai… amen pan Gujarati j che!

[@ankitprakash7949]

just completed watching all your videos and what I feel sad about is that you are inactive since 2 years. I just want to ask is everything alright because you suddenly disappeared from KZbin. If everything is okay then please continue with your channel as I totally love your videos and teaching style

[@arunawinslet.p2779]

you are zopper good ,now i have the understand the codes now ,very clearly

[@CodingLane]

Hope your doubts that you asked got resolved! 🤗

[@arunawinslet.p2779]

@@CodingLane yes 😩💗

[@John-wx3zn]

Thank you. You are a very nice person and easy to learn these easy concepts from.

[@oyebamijimicheal8372]

Simplicity at its peak ❤️🔥

[@bryanscott2075]

Everything is simple and straightforward. keep up the good work bro!

[@MohammadaminAhanin]

This was so Helpful Thanks for that Sending you my Love From IRAN

[@stanmiczka]

Thank you so much for your playlist, it has been so usefull for me ! I hope that you're doing well :)

[@aidataverse]

Really great content bro , in simplest English as if I am listening in Hindi. Very good

[@hamafel7559]

thank you for all these videos,clear and very helpful! can you make also videos about few-shot learning?

[@pennapatipavan5846]

Your videos are awesome. So helpful. One stop for knowledge seeker. Can you please make videos on SVM, GMMs, Maximum Likelihood estimation as well?

[@franzkingstein2686]

Bro you are great. Respect ++

[@CodingLane]

Thank you so much!

[@himabindugottipati9867]

Thank you very much for this video. I request you to do videos on all machine learning algorithms. Thank you

[@DEWAAN-ud7ss]

You r Great .. This model very Effective Thank you

[@vijayadurgakavya9178]

Thank you man please keep doing these kind of videos

[@CodingLane]

Thank you. Will do!

[@zzzmd11]

Hats off to the excellent explanation. Great job !!!

[@soumyarao3372]

Absolutely great, double thumbs up!

[@CodingLane]

[@dalao3]

Thank you so much for your fantastic video! You are truly amazing.

[@sharmisthachoudhury9102]

In input.csv file datasets it shows "Wrong number of columns at line 6" error

[@Heyeveryonehahah]

Thank you so much!, you're amazing!

[@CodingLane]

Haha, thanks!

[@civilengineer2992]

its a great video got the concept but the predictions are not always coming right likr the dog nd cat numbers are not always coming right many times dogs values are also greater then 0.5 ...how to improve it ?

[@bhavani83esha]

Found it very helpful, thanks a lotttt for creating this video sir

[@CodingLane]

You’re welcome 😇

[@rajashehryar2002]

To the point explanation. Well done brother❤

[@tomasaravena5124]

sos bueno Jaimin saludos de argentina la tierra del asado y del diego

[@amandeepSingh-c7e]

i enjoyed your all videos on CNN

[@CodingLane]

Glad that you enjoyed!

[@PIYUSHKUMAR-t6x]

Hi, can you make a video on detecting certain 'Disease causing' image objects (e.g. Lung nodules detection for lung cancer).

[@adeepkrishnakeelar4426]

Very nice thanks a lot! Please upload more videos, very helpful!

[@CodingLane]

You’re welcome 😇

[@aditshah5958]

Hey Bro, Loved your entire playlist! It was really helpful. I had a question though. In the end, if the probability for one of the dog images was below 0.5, does that mean that all dog images will have a probability of being less than 0.5? If no, then how are we using a fixed threshold for classification? Can it not lead to erroneous classification too?

[@manishpingale6558]

amazing series bhai!

[@CodingLane]

Thanks!

[@nagamalleswararao2020]

Please do videos on RNN also. Your videos really useful. Thank you.

[@MKSB-bv1ej]

Really informative. Thankyou

[@karthik1520]

What about splitting of dataset to validation, validation is required or not?

[@PavaniPolisetty]

sir please explain how to create the datasets of images

[@inhibited44]

When I took regression analysis years ago, there was a way to look at residuals and outliers to see if the data might not look right for certain observations. Does deep learning have that way to inspect images to see if some don't look good enough?

[@adonsagumenitwe5399]

Very interesting, How about CNN IMAGE PROCESSING VIDEOS

[@hamedhasani5774]

thanks a lot make more please

[@muhammedfayas5907]

Great work brother, is there any video where u have implemeted using tensor flow frame work?

[@MadhaviAmondkar]

Hello, your video did help me a lot. Thank you so much. But its was possible only because of the dataset which you have provided. Kindly guide on how to have such datasets for different classification?

[@RAKESHSARKER-tl4qh]

how did you upload those images? and how did you make a csv file? please dont use shortcuts I need to know this in details help me with it asap!!!

[@nkechiesomonu8764]

Thanks and God bless you. I really appreciate your video.Please can you do a video on any pretrained network with svm for classification

[@haleemahoummusab21]

This is really helpful.. thanks so much! But I'm unable to download the dataset completely,it's saying no access; is there another way I can get the dataset downloaded?

[@logofmath]

Bro love you.....virtual hug from me...thank you sooo much bhai.....

[@HusnainTalib-r5c]

you deserve a like.

[@msravan442]

Please make a video for low-light Image enhancement using CNN

[@karishmachauhan8598]

Thankyou bhaiya!! I got output

[@kabirabdulkarim-mu8gq]

Hi, I found your video very educative. Can you please demonstrate how CNN can be applied on cellular network for DDoS detection

[@ABHISHEKPGDM]

while fitting the model, how do we get to know that when we have to stop re-running epochs count for better accuracy? like by doing it again and again we can reach to desired accuracy level...

[@tinashegotora6400]

you are star my dear

[@Kiran19892]

I learn so much from this video. Why you taken Image dataset in .csv format. Can we load images directly with folder labling?

[@CodingLane]

Glad it helped you… and yes you can directly load the dataset as well

[@Kiran19892]

@@CodingLane Please provide any video or link to load cats, dogs images in folder wise for classification

[@subhangmokkarala]

Bro how did u convert all images to csv files

[@PandiyanM22PHD064]

Can you give a code for MATLAB?

[@wasiflatifhussain]

excellent content

[@meerashareef419]

So what we do when we want multi class output ,, which activation function we use can u explain

[@danyalasif8322]

good content in short time

[@actionandentertainment5289]

Can you make a video on creating interface? after development of model

[@actionandentertainment5289]

Waiting for your kind response

[@CodingLane]

​@@actionandentertainment5289 I will make a video, where I will show to create a full-fledge application with machine learning model at backend and an interface at the front end, but I am not planning to do it anytime sooner. If you want some help then you can checkout this project of mine on github. Its a chatbot with web interface, where you can give input and machine learning model will produce output. github.com/Jaimin09/Jessica---A-Virtual-Assistant Hope it can help you!

[@ArashSoleimanifar]

you are amazing man

[@johntitor1054]

Actual lifesaver

[@shivamdubey4783]

great tutorial brother just make one video on how to use this in django and save model

[@CodingLane]

Thanks for the suggestion… will try something like this may be in the future

[@lootere3282]

Bro could you explain vision transformer with example and creating one transformer base image classification model from scratch

[@smitatiwari7505]

Awesome explanation. Good work

[@CodingLane]

Thank you!

[@engelbertteh552]

Hi sir, I followed you tutorial but somehow model accuracy does not change and remains at 0.5

[@muhammadhamidsaeed2063]

I have same error, it stays at 0.5, I know this comment is 2 months ago, so if you did find the solution, kindly reply, it would be a great help

[@ganeshchaudhari9581]

great explanation bro 😇😇😇😇😇😇🤩

[@the_hasnat]

Nice job

[@CodingLane]

Thanks!

[@ramanraguraman]

Thank you very much

[@Apkabhai5]

thank you so much sir

[@Varadi6207]

bro plz make video on bidirectional CNN for image classification

[@CodingLane]

Hi Thanks for the suggestion. Will try to cover this topic.

[@bibandisha5781]

Nice explanation

[@CodingLane]

Thank you!

[@hemamaliniveeranarayanan9901]

hi.. awesome video. can you put video on steganalysis coding

[@CodingLane]

Thanks for the suggestion… I will see if I can make video on it

[@Asror_Boytemirov]

Greetings! Please show how to build CNN from scratch without using ready-made libraries No Tensor Flow, No Keras, No Pytorch

[@GOKUL-f7i]

the dataset is in numerical value how it convert to numerical and how we see

[@leonardoofficial5750]

How to use directory insted of csv file? 😊

[@SargunaNarayanaSachinS]

while loading the dataset i get an error msg

[@palurikrishnaveni8344]

can you show the severity level of the disease using CNN multiclass model?

[@terryterry3733]

thanks bro , nice one

[@CodingLane]

Always welcome

[@sindhujashukla8690]

Sir can you make a video on multiclass label image classification using vision transformer

[@Arindam_Mukherjee98]

Hey, Jay thanks for the series of this CNN, I really loved it, much appreciated, but I want to know can I train my model in Visual studio code, or in google colab with my own data set, and if yes how I have load the data set in google colab, If i want to make a classifier between me and my brother lets say. Thank you

[@CodingLane]

Hi Arindam, sorry for the late reply. You can directly open the iPythonNotebook in Visual Studio Code. And you can also work on google colab. But with google colab, you will need to upload your dataset to the drive and mount your drive. You can checkout this link for more details: towardsdatascience.com/google-colab-import-and-export-datasets-eccf801e2971

[@naiemsheikh4752]

Excellent interpretation, but I can not download the dataset. It says "This site can’t be reached". What can I do?

[@geniusx8071]

Very nice thanks a lot but I have a little problem invalid shape (1,) for image data and I don't know how to solve it if you can help me, please

[@debayanbhattacharya9542]

Very informative

[@kamanlimbu]

Hello Thank you for this wonderful tutorial. I just wanted to ask at 5:43 you divided all those values with 255 as I am beginner I had question like why did you divide with 255 ? It would be great if you could explain a bit. Thank you for the tutorial by the way.

[@aouatifcherdid9569]

To normalize the data values

[@antonykahuro8349]

Thanks 👍🏿

[@CodingLane]

Your Welcome!

[@rnmstream]

how can I use it as pedestrian detection and how to find the pedestrian data set

[@mayurhadawale8070]

It is showing error - ValueError: Input 0 of layer "sequential_3" is incompatible with the layer: expected shape=(None, 100, 100, 3), found shape=(None, 30000)

[@ghitalazrek4759]

sorry the same and what is the solution ?