Convolutional Neural Networks (CNN) Implementation with Keras - Python
#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.
Find the code
GitHub : https://github.com/shreyans29/thesemi...
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