Image Classification Using Pytorch and Convolutional Neural Network

This video provides a comprehensive guide on creating an image classification model using PyTorch and Convolutional Neural Networks (CNNs). We dive into the world of deep learning, focusing on the development of a custom dataset to train and evaluate our model. Whether you're a beginner looking to get started with image classification or an enthusiast seeking to enhance your PyTorch and CNN skills, this video is the perfect resource for you.

#imageclassification #computervision #pytorch #cnn #convolutionalneuralnetworks #convolutionalneuralnetwork

[arnavthakur]

Keep sharing such an amazing knowledgeable content in form of very easy to learn videos.

[mcoxcvk]

How can someone explain such complex concepts in a very simple way? I adore you.

[soravsingla]

Really knowledgeable video & explained in a Very well manner. Thank you

[mainhoontom]

Very nice Aarohi Mam. Thanks for making complex stuff simple.

[Sunil-ezhx]

Hello Ma’am
Your AI and Data Science content is consistently impressive! Thanks for making complex concepts so accessible. Keep up the great work! 🚀 #ArtificialIntelligence #DataScience #ImpressiveContent 👏👍

[karthickkuduva]

thanks for such easy tutorial on image classification mam.... worth watching your channel

[ashimasingla]

Hello Aarohi
Your channel is very knowledgeable & helpful for all Artificial Intelligence/ Data Scientist Professionals. Stay blessed & keep sharing such a good content. Your channel really needs more likes & share so to reach maximum AI professionals who can encash from it

[soravsingla]

Hi Aarohi, your content is excellent and your channel is one of the best Artificial Intelligence channel but still not getting that much of likes which your channel deserves. Hope you succeed #AI
#ArtificialIntelligence
#DataScience
#EducationalContent

[shanikananayakkara]

Thank you very much for the amazing knowledge sharing. If you can, please explain how we can use deep unfolding networks for image classification optimisation using a code.

[omerkaya]

Thank you very much. Please make a video that contains an end to end computer vision project even if the project is basic.

[commoncats]

good work.... do more in Gen ai and LLm's

[rainlarh]

Hi Arohi! Thanks for sharing the knowledge:) I have a qns to clarify but I'm not sure whether would you be able to see my comments. How will the the code understand or how was the datasets being seperated into inputs and labels while running the training loop as shown in your video?

[ravindrakarande]

Please share the dataset used in this video

[Memorable_dayss]

Can I use flatten() instead of Randomhorizontal()

[andreadotta]

Hello, great video! I wanted to ask why you used model instead of new_model in the line output = model(input_batch)? new_model should have only 2 neurons in the last layer and therefore choose between two solutions, while model still has all the neurons. Am I correct or am I mistaken? Thanks!!

[harshawithhonor]

Hello ma'am, could you please provide the source from where I could get the image files to run this project. Also, do you have any citations (references) for this project.

[Arceus]

hey, i m working on an image classifcation project but i m confused what should be the order of preprocessing the images. is my below order of image prepprocessing correct??

step - 1 -> Resizing to 64x64 (Both Train & Validation dataset)
step - 2 ->Splitting dataset into train and validation
step - 3 ->Augmentation (Only Train data)
step - 4 ->Normalization (Both Train & Validation dataset)

[Sunil-ezhx]

Code with Aarohi is best platform to learn Artificial Intelligence & Data Science
#BestChannel #CodeWithAarohi

[felipemunoz]

where i can find that dataset?, i just found of CNN in his github :(

[karthickkuduva]

Mam i tried with my own cnn model including dropout and batch normalization. And i achieved accuracy of 64% and model predicted output label correctly with image. 64% of accuracy is not bad. How to increase accuracy mam ?.