Image Classification with Neural Networks in Python

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In this tutorial we are going to use neural networks in order to classify images and recognize what they are representing.

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I was working on a CNN for image classification but I couldn't wrap my head around after training the model, how to actually get the specific image classification on a random image from online. I was stuck on this issue for hours until your step-by-step video explained it perfectly and I finally got my model to output image labels after classifying. Thank you so much for this video!

nwang

Thank you so much, you're the best teacher!

nadirrezaoui

sir thank u for this tutirial but would u do a video how to create your own model classifier by adding your own images

aymenbenrhouma

Thanks. Your videos, topics are relevant, your teaching style is great. But please dont torture your viewers, with this low contrast and small text !

photogyulai

Awesome tutorial, you explains so awesome, can you make a tutorial to create a chatbot using nlp

pranaytiwari

I think this was an EXCELLENT tutorial and I definitely will use the treasures that you gave on this difficult topic!

I wish you had gone over the data that you were using I little bit more in detail and stated how you have to adjust the convoluted2D layers, because of the size difference of the images. In your example you used 32 pixel x 32 pixel Cifar10 dataset, but how does this change, if your input_shape is more complex ie. trying to classify whether there is an apartment building OR a detached house in a certain address => even my thumbnails that I am trying to classify are more complex 400 pixels x 400 pixels pictures and I do not want to make them smaller, because I am afraid that I would lose some features that make them more recognizable (although a very quick rule of a thumb would be the amount of asphalt and grass; lot of asphalt > an apartment building, lot of grass a detached house with its own garden).

So evidently I am increasing my input_shape to match the size of my images, but how does that reflect the size of the convoluted 2D layers, do I need one that is exactly the size of my image 400 and three that are twice as large 800?

KaijaKFanpages

Thank you. If the dataset isn't inside of Keras, in other words, if my dataset is in my local drive how can I import the training_images?

swarupmazumder

Thanks for helping me with my thesis !

hugokidd

Mans is Nacho from Better Call Saul. Seriously though good video.

TheMuffinMan

How do i use my own images for training the model?

arjunbasandrai

Hello! Thanks for the tutorial, it's really cool.
Nevermind, fixed it hahaha
Thanks!

fantasmy

Very well explained the use of keras library.

tranjeeeet

Activate main didn't work. It's not found, what should i do?

C:\WINDOWS\system32>activate main
Could not find conda environment: main
You can list all discoverable environments with `conda info --envs`.

nagisafurukawa

what do i need to do to make it read notes written by people and be able to classify them to which one is who's? please help

SuperHovik

I used Open Cv's resize() function to resize any image i need for me since when I tried resizing manually i got black borders around the image which caused problems. Not only did this fix that issue it also helped save me time.

img = cv.resize(img, (32, 32))
img = cv.cvtColor(img, cv.COLOR_BGR2RGB)

super easy

daniela

this is really quality video and enhance our skills too.

codefix

5:55 horse and truck appear similar XD

Extorc

Great video but how do I label the images if i don't know the order of images? How to identify the label name from label number value?

kusumrohra

How can u extract the label of a classified image when working with a large dataset? I would like to classify food image and recommend recipes based on the label identified but I am not understanding how to do this. I WOULD kindly ask a tutorial on this matter. There is barely information on food related projects plz

woonie

i hope you do the same for text, for example try to check if a book translated Ok by raining the model on good translation of the same book. Kind of correcting the second translation

abdullahghumaricom

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