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

DeepLearning series: Convolutional Neural Networks

DeepLearning series: Sequence Models

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

Machine Learning: Reinforcement Learning — Markov Decision Processes

The goal of reinforcement learning, contrary to the previously seen methods of machine learning (supervised/unsupervised learning), is to tweak the system in order to perform right or wrong in certain ways.

Machine Learning: Unsupervised Learning — Feature selection

Having a lot of features to deal with is not necessarily a good thing to have.

Instead we need to always aim to identify a subset of features that are more relevant than others and that are responsible…

DeepLearning series: Deep Neural Networks tuning and optimization

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…

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…

DeepLearning series: Neural Networks and Deep Learning