- Computer Vision
- Convolutional Neural Networks
- Deep Learning
- Image Analysis
- Artificial Neural Networks
- Transfer Learning
- Recurrent Neural Networks (RNNs)
- Network Architecture
- Vision Transformer (ViT)
- Machine Learning Methods
- Generative Adversarial Networks (GANs)
- Generative Model Architectures
Introducción al deep learning contemporáneo
Completed by Jaime Abella Alvarez
April 2, 2024
10 hours (approximately)
Jaime Abella Alvarez's account is verified. Coursera certifies their successful completion of Introducción al deep learning contemporáneo
What you will learn
Identificar las principales técnicas de Deep learning en el mundo contemporáneo.
Familiarizarse con algoritmos que hacen uso de técnicas de aprendizaje profundo.
Skills you will gain
