Neural Networks

DeepLearning series: Attention Model and Speech Recognition

DeepLearning series: Sequence-to-Sequence Architectures

This model architecture is useful for machine translation and speech recognition.

Let’s use the first application in an example. We want to translate an input text in French (x<1>, x<2>, …, x<Tx>) to an…

DeepLearning series: Sequence Models

This blog will cover the different architectures for Recurrent Neural Networks, language…

DeepLearning series: Face Recognition

In this write-up, I will describe the techniques to build a face recognition system, through…

DeepLearning series: How to structure machine learning projects

DeepLearning series: Deep Neural Networks tuning and optimization

DeepLearning series: Neural Networks and Deep Learning

Machine Learning: Neural Network

Another machine learning model is the “neural network”. It was inspired by how the real neurons interact with each other and it simplifies their activity in this form: we have different inputs x with different weights (w); the sum of the inputs by their weights triggers a…