create a neural network for wine data




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Learn how to create a neural network to classify wine in 15 lines of Python with Keras.

Code: https://github.com/jg-fisher/wineNeuralNetwork
Dataset: https://archive.ics.uci.edu/ml/datasets/wine
Keras: https://keras.io/

— Highly recommended for theoretical and applied ML —
Deep Learning: https://amzn.to/2LomU4y
Hands on Machine Learning: https://amzn.to/2JSxhIv

Hope you guys enjoyed this video! Be sure to leave any comments or questions below, subscribe and thumbs up (:

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Comment List

  • John G. Fisher
    December 4, 2020

    Thanks for watching guys! Any feedback as to the direction of future machine learning videos would be great (:

  • John G. Fisher
    December 4, 2020

    Hey man, great video you explained everything in a very clear way. Good job, appreciate your content 🙂

  • John G. Fisher
    December 4, 2020

    sir, does the ann system that you make use the backpropagation learning method or not ?

  • John G. Fisher
    December 4, 2020

    Mas John jago tenan e wah ndasku mumet nganggo R

  • John G. Fisher
    December 4, 2020

    sir i copied your code i got error in most of the place and i remove most of the errors only got error in fit model line.

    error: ValueError: Error when checking input: expected dense_29_input to have shape (13,) but got array with shape (3,)

    can you tell me how to remove that here is link of my code

    https://colab.research.google.com/drive/11YzIH-GKaGGN4BND9RuR9ZgypeKpA4NO

  • John G. Fisher
    December 4, 2020

    I’d like to hear how you’re affecting the outcome of scenarios and not only
    How you build. Machine learning would be good for
    Building Soccer teams, dating (!!), one could have so much fun! On the more serious side, medical data to show how neural nets can detect potential pathways for cancers. But broad but infested to see the applications of what you’re doing

  • John G. Fisher
    December 4, 2020

    Please i need your help , How can i add autoencoder for that ?

  • John G. Fisher
    December 4, 2020

    What business insight can one draw from the results?

  • John G. Fisher
    December 4, 2020

    that is coo, please continue, you way is nice cause you give projects as application which way better just explaining the basic

  • John G. Fisher
    December 4, 2020

    I am a complete ANN newbie,

    When creating the model part, how do you decide on:
    – the number of activations to use (start with 10 -=2???)
    – how small or big you are setting the dense??

    https://keras.io/activations/

  • John G. Fisher
    December 4, 2020

    It Would be nice if you would show how to make predictions based on the model

  • John G. Fisher
    December 4, 2020

    good video but i couldn't predict with "model.predict()"

  • John G. Fisher
    December 4, 2020

    Thanks for a great Video! How do i display the confusion matrix for test data?

  • John G. Fisher
    December 4, 2020

    Great Videos! I'm just starting to learn python for machine learning and the timing of these videos is perfect. I would love to see a video (or a few) on getting started with tensorflow. I'm having trouble getting started with it. Thanks!

  • John G. Fisher
    December 4, 2020

    boss

  • John G. Fisher
    December 4, 2020

    Hey John, I'm really loving your videos. Is there a way you could point out some biotech uses of a neural networks? Or maybe suggest a resource. Your vids are giving me all these ideas!!!

  • John G. Fisher
    December 4, 2020

    Great video as always! I’m interested in working with neural networks to predict stock price movements. If you could show how that would work it would be really helpful! Thanks again for all the videos!

  • John G. Fisher
    December 4, 2020

    I've watched most of your recent videos about machine learning. And so far I'm not sure if you've gone into detail about how to use the model you've just created to predict the outcome of data going forward. Maybe for future videos you could continue with this structure but after you're happy with the accuracy, show the process of feeding it X values to predict/classify the unknown Y value?

  • John G. Fisher
    December 4, 2020

    Great. Thank you so much. I am learning a lot and am grateful for the pointers. Keep up the good work.

  • John G. Fisher
    December 4, 2020

    Great video, very helpful for me as I'm starting learning this stuff.
    How would you then go about utilising this trained network?
    Could you show an example of training a network and then throwing some values at it and seeing what it predicts?

  • John G. Fisher
    December 4, 2020

    Where do you record these videos, John? Looks like a massive room

  • John G. Fisher
    December 4, 2020

    As always, another great video. Thanks!

  • John G. Fisher
    December 4, 2020

    Thank you for making this video it's amazing and simple.
    when I read a paper it makes all the sense and I get it like a story but when I am done I still feel like empty board because I have no idea of how the hell to apply it.here's one I am trying right now>>https://link.springer.com/article/10.1007/s10278-011-9380-3 you can get that on sci hub too.any idea how to deal with that?

  • John G. Fisher
    December 4, 2020

    Ahaha the Wine dataset…a classic!

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