Support Vector Machine (SVM) – easily explained!
Support Vector Machines explained with examples, including kernel trick and advantages and disadvantages of using them.
Support Vector Machines explained with examples, including kernel trick and advantages and disadvantages of using them.
Create a Convolutional Neural Network in Python with Tensorflow.
Introduction to the backpropagation algorithm with explanation of the gradient method and error backpropagation.
Gradient method explained with examples, learning rate and problems of gradient descent.