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