Machine Learning

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: Natural Language Processing and Word Embeddings

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: Object detection and localization — YOLO algorithm, R-CNN

DeepLearning series: Convolutional Neural Networks

DeepLearning series: How to structure machine learning projects

DeepLearning series: Deep Neural Networks tuning and optimization