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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Comment List

  • NeuralNine
    November 19, 2020

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

  • NeuralNine
    November 19, 2020

    Can i copy code plz?

  • NeuralNine
    November 19, 2020

    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?

  • NeuralNine
    November 19, 2020

    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?

  • NeuralNine
    November 19, 2020

    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'

  • NeuralNine
    November 19, 2020

    先赞后看!!!thank you!!

  • NeuralNine
    November 19, 2020

    Amazing tutorials!

  • NeuralNine
    November 19, 2020

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

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