Category: Neural Networks
-
Deep Learning & Neural Networks: Part 2
As a quick recap, in the last post the primary focus was introducing how images are processed to create the feature vectors, and how the logistic regression model is used to predict $$\hat y$$. In addition, the concept of loss function: $$L(\hat y\ ,\ y)\ =\ -(y\ \log\ \hat y\ +\ (1\ -\ y)\ \log\…
-
Deep Learning & Neural Networks: Part 1
Deep learning refers to training neural networks and is a major contributor to many of the recent advances in machine learning. Deep learning has been the subject of many popular press articles on how deep neural networks have revolutionized the field of speech recognition. Even more cool in my opinion is that Google’s AI algorithm…