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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Hello! Thanks for the tutorial, it's really cool.
Nevermind, fixed it hahaha
Thanks!
Can i copy code plz?
Hi, first of all, great tutorial! When I'm Training my Model, I only get 1563 'images', when using 'training_images = training_images[:20000]', to scale it down, it gets scaled down to around 600 images. Did TensorFlow change the size of the training models? And why are almost 100 images being removed when 'cutting' the array?
Amazing tutorial sir, i am trying to train a model to classify between five different flowers namely, daisy, roses, dandelion, tulips and sunflowers. I cant figure how to setup my layers for this. The resolution of the images are 300x300x3. I dont know how to set the neurons, filters and how much layers i need to do that?
sir it shows these two errors.kindly help
img=cv.cvtColor(img,cv.COLOR_BGR2RGB)
cv2.error: OpenCV(4.3.0) C:projectsopencv-pythonopencvmodulesimgprocsrccolor.cpp:182: error: (-215:Assertion failed) !_src.empty() in function 'cv::cvtColor'
prediction=model.predict(np.array([img])/255)
TypeError: unsupported operand type(s) for /: 'NoneType' and 'int'
先赞后看！！！thank you!!
Amazing tutorials!
Awesome tutorial, you explains so awesome, can you make a tutorial to create a chatbot using nlp