logo-mooc
search-iconsearch-icon
menu-whitemenu-blue
GRATIS
Inicio / Buscador / Ciencias de la Computación / Deep Learning
Yale University vía Coursera
GRATIS

AI Capstone Project with Deep Learning

  • money

    Cursos gratis (Auditar)

    question-mark
  • earth

    Inglés

  • folder

    Siempre Abierto

  • certificate

    Guía de Registro en Coursera

    arrow
VER CURSO arrow
Acerca de este curso

  • 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 images, and visualize them.
  • Module 2
    • In this Module, you will mainly learn how to process image data and prepare it to build a classifier using pre-trained models.
  • Module 3
    • In this Module, in the PyTorch part, you will learn how to build a linear classifier. In the Keras part, you will learn how to build an image classifier using the ResNet50 pre-trained model.
  • Module 4
    • In this Module, in the PyTorch part, you will complete a peer review assessment where you will be asked to build an image classifier using the ResNet18 pre-trained model. In the Keras part, for the peer review assessment, you will be asked to build an image classifier using the VGG16 pre-trained model and compare its performance with the model that we built in the previous Module using the ResNet50 pre-trained model.