Cat Vs Dog Image Classification Project | Deep Learning Project | CNN Project
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- Опубликовано: 4 июн 2024
- Dataset used - www.kaggle.com/datasets/salad...
Google Colab Notebook - colab.research.google.com/dri...
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⌚Time Stamps⌚
00:00 - Intro
01:15 - Kaggle Dataset
03:15 - Code Exmaple
You are that 'Dataset' which does not required any EDA...you are the best bro...keep up the good work.... LUV U 3000 😜
Now days I rely on your videos to get clear understanding of concepts. Your explanation method is so easy. Thank you very much Sir!!!!
Your way of explaination is too good brother, i learned many concepts from your video, thank you so much
Thanku very much for efforts you put for everyone here who wants to learn data science & its new domains . Your sessions always provide some new & helpful information. I don't have words to praise for this channel. I never know how to unzip file, trying to google ; don't understand. U showed a code for that & it worked. I learned a small , new thing & it was helpful . Thanku so much.
Thank you Nitish sir for continuously putting your efforts!!
Enjoy your teaching style, all things to the point.
Come with more Awesome project ❤️✔️
We are always here to support and trust you 🎯❤️
bina daadi mooch wala Krish Naik.... But he has keen understanding of the topics... loves his video💗
I have no words to thank you brother ....❤❤
Congratulations for 40K sir !
loved answering some questions in the comments, helped boost my confidence regarding the topics.
Excellent explanation sir! But will you please make a classification using pytorch once.
A very informative very good teaching style, good learning experience ❤
Hello sir, I am getting 1.0 accuracy for both training and validation set with the same code. Is it correct or am I doing overfitting. Can you please help me out ?
Sir we can rescale the image with flow from directory method in image data generator. We don't need to do it separately.
Which is best for NLP tensorflow or pytorch ?
Really helpful and informative videos!!!
You explained it very well. thank u so much bro. big like from Afghanistan.
Thanks, sir for an amazing lecture
I solve overfitting to some extent gotan accuracy 94 and Val accuracy 90
Added one conv and pooling , one fc, Dropdown 0.3
can you share your notebook with me?
Wonderful explanations by you Krish.....Linear regression is on my tips explained by you now...and so the other M/L videos....This again CNN implemetation you made so simplified for us the beginners....Please keep uploading your videos of DEEP learning too.....thanku so much ......
Who is krish here
he is nitish
Very Good Sir , NIce Understanding Of Every Concept
Hello Nitish sir.
You asked us about starting the mentorship program again. Can we expect the same anytime soon?
in fitting the model it's showing the error Value error : Shapes (None,6) and (None,1) are incompatible
I have used facial emotions data having 6 categories
Sir, I haven' t used your cnn architecture, I took 4 convolutional layers, kerel_sizes (10,20,40,80) and four fully connected layers with neurons each( 80, 40, 20, 10, 1) . I got accuracy of 99.92%. I will become a top-notch data scientist with your videos. your hardwork payoffs sir.
uhhh what
broooooo!!!!! htf u got share me the code pleaseeeee!
Sure
share me link broo plz...and there's also a problem uk..like for both cat and dog my model is giving me 1 as output..ifyk the solution please tell me that also :)@@jayanthkothapalli9.2
please share your code with me also ,, please@@jayanthkothapalli9.2
Sir I am beginner..can u help me which playlist is worth for watching as I have to submit my project at the end of this month
Amazing one Nitish Sir
Congratulations for reaching 40k .. Very soon it will be on 1 lack
the topic is well explained in depth.
did we shuffle our dataset before training??
I have issue in the code the image data of dtype object cannot be converted to float
Great explanation brother.
Brother I got a small doubt, what's l1 and l2 regularization in CNN
25:13 Just some habits of true RCB Fans....😂
Thanks for the video sir. Your videos are of 11/10 ratings❤
Thank you sir I have learn alot of things
Can you show this project with deployment in heroku or other cloud platforms. Because deploying a deep learning model is a great issue..
Bhai I think class weights de sakte hain model ko ya fir sampling kar sakte hain. Data Augmentation mein randomflip ya RandomRotation ya RandomContrast use kar sakte hai!!!
Also, this image_dataset_from_directory waala concept to tagda laga mujhe!! I will try this on one of my pipelines.
When i run it says that the dataset have a lot of corrupted files, and then it stops
Please cover Callbacks,schedule learning rate ,tensorboard etc
Sir how we select the GPU option in Jupyter notebook, plz respond .
Sirji itt would be more helpful if u could explain the parameter and it's particular values why u have used in this project..while creating cnn model like padding, stride etc
well done sir !
can I use this model for leaf dease prediction?
It was excellent for beginners
Can you give me the code to show precesion,recall and F1 score on test set addition to this code
Thank you Bro For this, Lot's of help..
very helpful video!
Bhaiya congo for 40k
bhi ap ny buhat achi terhain samjaya hai
Can You help me
I write the whole project but when i give dog picture link then gives 0 Or i give cat picture it give 0 for both the picture
what is wrong ?
either some issue while training or just the fact that the accuracy of the model isn't high enough to distinguish between the two images, besides, the images could be very similar to each other as well.
new subscriber thank you so much for the ai projects
which algorithm is use in this??
How to show any random picture in my dataset ?
Hello sir. Great playlist sir.
If model provide lion image . model predict undefined class it is possible?
Sir ji mast explanation
Thank you sir
Sir pls make a video on k fold cross validation
Sir maine abhut saara video dekha par usme acche se explain nahi Kiya gaya hai
Aap ek video banao aur statistics par bhi video banao
Apne playlist me dusre ka video daala hai
Sir it's very important for me I am watching only your video , getting understand with your video only
Humble request from honest student to best teacher
Hello sir....there is error in my plt.imshow(test_img) codeline....( image cannot be stored in float format )is showing sir
best playlist
Excellent tutorial !
25:40 here, don't we need to normalize the pixel values before predicting? as the model is trained on the normalized data
i think it is not necessary to do so because he added the "batch normalization" layer after each convolution layer in the model which does the job for him already.
sir my val_accuracy = 0.8650 and accuracy = 0.9843 I have increased 1 conv and pooling layer and , and increased 1 FC layer also, now working to avoid overfitting.
Hey can you send me the link of your source code because my code is all good but the output of my code is 0 for every input for dog and cat both
@@GeekyGaming0 It's happened due to imbalance dataset
Thanks
thanks sir
Sir plz send me link about software I want to learn From basic
great
what is labels = inferred?
Which Ide is best for this
Sir, If we will give another image of our model so, Our model what will give the result
can we use same technique for accident detection
Please anyone reply who knows the answer please
Thankyou very much
Good knowledge
agar mera project oral cancer pe h...jisme cancerous images aur non cancerous images ko classify krna h cnn se...but nahi ho rha h...aur project ka graph ke beech ka gap kam h bina BatchNormalization aur Dropout ke, toh mei use nahi kru??
meri accuracy mei 63% change ho rhi h bina BatchNormalization aur Dropout use kiye, aur jab use kr rha hoon toh 41% aaraha h??
1.try increasing the complexity of the model to see if it properly overfits the data, uske baad use the dropout layer and batch normalization.
2. try using any one at a time like batch normalization or dropout layer and not together.
Great tutorial. The only problem is, I don't understand Indian.
Hii, how to classify images and automatically segregation move them to folder(s) based on their classification, you can use a combination of image processing techniques and file management tools.please help . Trapped camera images maximum 18 lakhs capture wild animals, storage extranal hard disk . Please help 🙏🙏🙏
make a program to compare a square and a triangle so that when you show the photo it shows whether it is a triangle or a square
i getting both case are 1 how can solve?
Not working. I am getting 0 from all images
THANKS A TON
@CampusX mere me to create api token ka option hi ni hai khi.
Please cover lightgbm and time series
TypeError: Image data of dtype object cannot be converted to float
I can't this type arror problem solve... please help me
how can i solve this error ...............
You are the best.....😄😄😄😄
what if I used images other than dog and cat as test images, is the network will be able to predict if it is not a dog or a cat?
no, it is trained to predict if a particular image looks like a dog or a cat, so it will choose the prediction which seems closer to the image that has been input.
I am getting 1 all time,,,how can i solve it?
thanks a lot but please add English subtitles to your videos
How to get the confusion matrix, classification report and auc roc curve after this code? Kindly guide
Guys help me out with gpu cuda installation in jupyter with/without using anaconda
But it works untill we are connected to internet. kaggle.json file expires and I have to restart all the process. any solution??
Sir for both ta cases I get 1 what should I do
It is happening with me did you resolve the issue
Can i use the same code if the dataset has 80 different animals instead of just cats and dogs?
yes u can but in last dense layer make the activation as 'sigmoid' and neurons as '79' in place of '1'.
Sir i got accuracy=98.40 and val_accuracy=89.34 with the help of l2 regularisation and add one more conv(256) layer and one more FC(256) layer
hello bro can you please share the source code because i am getting error
bro can you share the code
sir kb hm xml file ka use krte h image classifications me any one tell me
finished watching
thank you for the efforrts and the information , but it would be better if you explain in english while coding , in order to beneffit all the audience from different countries , not just indians
Sir can i get report of this project
Sir mai nahi samajh paya matlab pehle img ko kaise kaiss badalna hai wo nahi samajh paya sir pehle numpy array fir resize aur ffir bahut sa process sir plehse drtils me samjhaye
Sir please add Object Detection Lectures using RCNN Faster RCNN and YOLO Versions
why my code is not supporting normalization and i am getting loss as nan as well as accuracy is not increasing
circular dependency for the process function how to resolve it
Notes to Self: @ 8:07 Generators in Keras.
Sir please make a video on pytorch