Convolutional Neural Networks (CNN) Implementation with Keras – Python




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#CNN #ConvolutionalNerualNetwork #Keras #Python #DeepLearning #MachineLearning

In this tutorial we learn to implement a convnet or Convolutional Neural Network or CNN in python using keras library with Tensor flow backend.

Convolutional Neural Networks are a varient of neural network specially used in feature extraction from images. In this video we use MNIST Handwritten Digit dataset to build a digit classifier.

We test the accuracy with and compare it with the random forest algorithm.
We use the Convolution2D, MaxPooling, Dense and Dropout functions from Keras to complete our convolutional neural network.

CNNs are a form of Deep Neural Networks and are important part of Deep Learning.

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Comment List

  • The Semicolon
    December 30, 2020

    You are Confused My friend a lot😂

  • The Semicolon
    December 30, 2020

    merci

  • The Semicolon
    December 30, 2020

    sir how we can get the csv dataset file?

  • The Semicolon
    December 30, 2020

    I think you could code during the explain, you explain about the idea of the things but don't talk about the code itself.

  • The Semicolon
    December 30, 2020

    Where can I fing the mnist.csv file ?

  • The Semicolon
    December 30, 2020

    hi sir i want to extract the features after training data
    i have done all these steps and now i want to extract features for real life application and i want to find the features of my data from cnn

  • The Semicolon
    December 30, 2020

    in line no. 28 = model.fit your code is running 10 times but mine is going only 1 time.Can U tell me Why so?

  • The Semicolon
    December 30, 2020

    Great Tutorials.
    PS: your voice is not synchronized with video kindly look into it.

  • The Semicolon
    December 30, 2020

    how to put in code: 1-D Conv 2-DConv 3-DConv 4-DConv?

  • The Semicolon
    December 30, 2020

    Almost all the videos on youtube for Deep learning are for image processing. I really need to know how do we implement CNN or any other deep learning techniques for other topics other than image processing? I mean say suppose, we have a matrix of 'n' observations and 'n' features than how do we implement it?

  • The Semicolon
    December 30, 2020

    I need help with 'input_shape' variable. My data is 1d. Not 3d like yours. How to pass it?

  • The Semicolon
    December 30, 2020

    it is better if u have used predict function and also describeed but still best explaination man

  • The Semicolon
    December 30, 2020

    great tutorial love from iit kanpur

  • The Semicolon
    December 30, 2020

    bro you are the best!

  • The Semicolon
    December 30, 2020

    Best Tutorial in youtube
    Thanks Sir

  • The Semicolon
    December 30, 2020

    Where can I obtain the mnist.csv file???

  • The Semicolon
    December 30, 2020

    The belows kind of error has shown…
    NameError: name 'data' is not defined. whats the solution?

  • The Semicolon
    December 30, 2020

    thanks alot. Can you refer to find out the dataset mnist.cvs that you are using? Where I can find such a data. Thanks

  • The Semicolon
    December 30, 2020

    Thank you sir, just one question where did u define the number of epochs?

  • The Semicolon
    December 30, 2020

    Thank you very much. could you also help us by posting your github link for this code

  • The Semicolon
    December 30, 2020

    Great tutorial. Can you please make the next part of this video where we can draw a number and this learned CNN will predict that?

  • The Semicolon
    December 30, 2020

    Added English captions !
    Happy Learning 🙂

  • The Semicolon
    December 30, 2020

    Great works. Can you please do video about functional api for ConvLstm please ?

  • The Semicolon
    December 30, 2020

    thank you very much,
    I will wait you for RNN, LSTM 🙂

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