Image Classification using CNN Keras | Full implementation

In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras.
Keras is a free and open-source high-level API used for neural networks. Building a Deep Learning model in Keras is fast and easy.
I already covered the full detailed mathematical theory behind the Convolutional Neural Network (CNN). If you haven't checked that playlist, then you can find its link down here.
For now, let's first see Image Classification using CNN Keras.
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Timestamps:
0:00 Intro
1:43 Imports
3:25 Loading Dataset
6:30 Model Implementation using keras
15:36 Predictions for individual images
17:17 End
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Follow my entire playlist on Convolutional Neural Network (CNN) :
📕 CNN Playlist: • What is CNN in deep le...
📕 Programming Assignment: github.com/Coding-Lane/Image-...
📕 Dataset: bit.ly/ImgClsKeras
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✔ Complete Neural Network Playlist: • How Neural Networks wo...
✔ Complete Logistic Regression Playlist: • Logistic Regression Ma...
✔ Complete Linear Regression Playlist: • What is Linear Regress...
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If you want to ride on the Lane of Machine Learning, then Subscribe ▶ to my channel here: / @codinglane

[@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.

[@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:)

[@bryanscott2075]

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

[@Bbb78651]

Thank you so much, brother, for this STELLAR series on CNNs. Without a doubt, the BEST on CZcams. 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!! 🤗

[@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!

[@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

[@vipulpampattiwar7381]

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

[@adithyasureshkumar7523]

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

[@CodingLane]

Happy to help!

[@careercom9485]

How can I get code

[@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 🔥🔥😍😍

[@sphoorthy7978]

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

[@CodingLane]

Happy to help 🤗

[@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 😇

[@zzzmd11]

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

[@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 CZcams

[@John-wx3zn]

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

[@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?

[@oyebamijimicheal8372]

Simplicity at its peak ❤️🔥

[@stanmiczka]

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

[@rajashehryar2002]

To the point explanation. Well done brother❤

[@aidataverse]

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

[@MKSB-bv1ej]

Really informative. Thankyou

[@hamafel7559]

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

[@dalao3]

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

[@DEWAAN-ud7ss]

You r Great .. This model very Effective Thank you

[@joshr168]

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

[@mayaambalapat3671]

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

[@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

[@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.

[@soumyarao3372]

Absolutely great, double thumbs up!

[@CodingLane]

[@MohammadaminAhanin]

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

[@karishmachauhan8598]

Thankyou bhaiya!! I got output

[@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...

[@user-bx7xh3wy1b]

you are amazing man

[@adeepkrishnakeelar4426]

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

[@CodingLane]

You’re welcome 😇

[@bhavani83esha]

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

[@CodingLane]

You’re welcome 😇

[@sharmisthachoudhury9102]

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

[@slyyoursenpai2462]

When I run the loading dataset part i,e X_train = np.loadtxt it says wrong number of columns at line 2

[@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?

[@muhammedfayas5907]

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

[@nagamalleswararao2020]

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

[@sunilbrevannavar1379]

How do I convert a folder of images (probably each has different resolution ) into a trainable .csv file?

[@ramanraguraman]

Thank you very much

[@kabirabdulkarim-mu8gq]

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

[@susmithanimushakavi6426]

Trying to install tensorflow becaise of user pernissions denied and path not mentioned..please help me

[@Apkabhai5]

thank you so much sir

[@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

[@jasurbekgopirjonov]

amazing

[@danyalasif8322]

good content in short time

[@wasiflatifhussain]

excellent content

[@meerashareef419]

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

[@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!

[@rnmstream]

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

[@debayanbhattacharya9542]

Very informative

[@naiemsheikh4752]

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

[@engr.inigoe.silvagalvan1161]

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

[@user-lf9te7hw8n]

i enjoyed your all videos on CNN

[@CodingLane]

Glad that you enjoyed!

[@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?

[@farhanaaullyjane4782]

did you use MobileNet architecture for the CNN model?

[@logofmath]

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

[@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

[@user-ip3bi3wd4d]

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

[@yy84869]

Thanks

[@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

[@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!!!

[@erwanerwan6196]

hello....in case you have no csv ....and your dataset contains small images (40 ) ...how to download data set with Tensor flow ???

[@dineshwaji]

nice content

[@melusimj3800]

@coding lane, and everyone.. Can someone please assist me, I have a problem when it comes to fitting my model during training... How can I fix the "Invalid-Argument-Error? I have followed all the steps from this video, but I still get the same error. Any suggestion, on how to solve the error?

[@ganeshchaudhari9581]

great explanation bro 😇😇😇😇😇😇🤩

[@ravibhushandixit3500]

thanks bro

[@subhangmokkarala]

Bro how did u convert all images to csv files

[@chaimaakarti8803]

please what is the code for the learning curves I need today please someone help

[@Kapilwankhede22]

Jay, I can't download the dataset. Please help ...

[@johntitor1054]

Actual lifesaver

[@smitatiwari7505]

Awesome explanation. Good work

[@CodingLane]

Thank you!

[@terryterry3733]

thanks bro , nice one

[@CodingLane]

Always welcome

[@msravan442]

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

[@jimnaughtmhlanga9278]

Hello I'm not seeing the link to a dataset

[@arumugavelayingaran4166]

thanks dude

[@sindhujashukla8690]

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

[@the_hasnat]

Nice job

[@CodingLane]

Thanks!

[@antonykahuro8349]

Thanks 👍🏿

[@CodingLane]

Your Welcome!

[@user-gq1gf7yv2u]

i want dataset dataset link is not working

[@bibandisha5781]

Nice explanation

[@CodingLane]

Thank you!

[@lootere3282]

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

[@nkechiesomonu8764]

You are too much. Best among equal, thanks for this video. please is it possible for you to replace the fully connected layer with svm or any other machine learning algorithm. i need a video of the implementation on that, Thanks i really appreciate

[@palurikrishnaveni8344]

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

[@ivana_ftn]

You are treasure

[@general936]

bro when are you going to upload more videos? very helpfull

[@daniyalali801]

I've a question, have you used deep learning??

[@fathimaamna1078]

Is the images labelled?

[@catcodm4040]

why the dataset is in cvs file

[@deekshasailu1523]

I don't why I getting runtime error can anyone please help me out from this

[@YadavSachin01]

Bhai Please tell me kb hm image classification me xml file ka use krte h

[@smile93]

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

[@CodingLane]

Thank you bhai… amen pan Gujarati j che!

[@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

[@hardiksheoran1873]

Dataset link not opening. PLZ HELP..😭😭

[@shibu4513]

dataset link isn't working

[@michoumichou-se6zi]

i have an error please help me : NameError: name 'np' is not defined

[@crazy.abc..6049]

From where can we copy this code

[@sahiltaneja9021]

Can we do this classification in real time using webcam