- Artificial Neural Networks
- Generative Model Architectures
- Computer Vision
- Machine Learning Methods
- Natural Language Processing
- Recurrent Neural Networks (RNNs)
- Deep Learning
- Vision Transformer (ViT)
- Network Architecture
- Generative Adversarial Networks (GANs)
- Image Analysis
- Transfer Learning
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
