Description
In this course, you will :
-
Use Keras for classification and regression in typical data science problems
-
Use Keras for image classification
-
Define Convolutional neural networks
-
Train LSTM models for sequences
-
Process the data in order to achieve to the specific shape that Keras expects for each problem
-
Code neural networks directly in Theano using tensor multiplications
-
Understand what are the different layers that we have in Keras
-
Design neural networks that mitigate the effect of overfitting using specific layers
-
Understand how backpropagation and stochastic gradient descent work