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Series temporales con Facebook’ Prophet y NeuralProphet

Deep Learning Methods for Healthcare

Week 1 – Embedding An overview of the course and everything about Embedding. Week 2 – Convolutional Neural Networks (CNN) We discuss the importance of Convolution and Pooling, and then present relevant information about Convolutional…

Deep Learning with PyTorch : GradCAM

Project Overview Gradient-weighted Class Activation Mapping (Grad-CAM), uses the class-specific gradient information flowing into the final convolutional layer of a CNN to produce a coarse localization map of the important regions in the image. In…

Facial Expression Recognition with PyTorch

Project Overview In this 2-hour long guided-project course, you will load a pretrained state of the art model CNN and you will train in PyTorch to classify facial expressions. The data that you will use,…

Informed Clinical Decision Making using Deep Learning

Course 1: Data mining of Clinical Databases – CDSS 1– Offered by University of Glasgow . This course will introduce MIMIC-III, which is the largest publicly Electronic Health Record (EHR) … Enroll for free. Course…

Deep Learning for Healthcare

Course 1: Health Data Science Foundation– Offered by University of Illinois at Urbana-Champaign. This course is intended for persons involved in machine learning who are interested … Enroll for free. Course 2: Deep Learning Methods…

Generative AI: Foundation Models and Platforms

Models for Generative AI In this module, you will dive into the core concepts of generative AI, such as deep learning and LLMs. You will explore the models that form the building blocks of generative…

Deep Learning for Computer Vision

Course 1: Introduction to Deep Learning for Computer Vision– Offered by MathWorks. Starting with zero deep learning knowledge, this foundational course will guide you to effectively train cutting-edge … Enroll for free. Course 2: Deep…

Attention Mechanism – Português Brasileiro

Introdução ao Mecanismo de atenção Neste módulo, você vai entender como a atenção funciona e como ela pode ser usada para melhorar o desempenho de várias tarefas de machine learning (como tradução automática, resumo de…

AI Capstone Project with Deep Learning

Module 1 – Loading Data In this module, you will get introduced to the problem that we will try to solve throughout the course. You will also learn how to load the image dataset, manipulate…

Applied AI with DeepLearning

Create Image Captioning Models – Italiano

Creare modelli per le didascalie delle immagini: panoramica Questo modulo ti insegna come creare un modello per le didascalie delle immagini utilizzando il deep learning. Scoprirai i diversi componenti di un modello per le didascalie…

Create Image Captioning Models – 日本語版

Create Image Captioning Models

Create Image Captioning Models: Overview This module teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder…

Create Image Captioning Models – Français

Créer un modèle de sous-titrage d’images : présentation Dans ce module, vous allez apprendre à créer un modèle de sous-titrage d’images à l’aide du deep learning. Vous découvrirez les différents composants de ce type de…