Introduction to Deep Learning
Completed by Felipe Molino Ferrer
October 2, 2026
18 hours (approximately)
Felipe Molino Ferrer's account is verified. Coursera certifies their successful completion of Introduction to Deep Learning
What you will learn
Explain the mathematical foundations of neural networks and how they learn from data.
Train and regularize deep neural networks for effective generalization.
Design and apply specialized neural network architectures for images and sequences.
Apply transformer-based and multimodal models to real-world scenarios.
Skills you will gain
- Category: Recurrent Neural Networks (RNNs)
- Category: Network Architecture
- Category: Vision Transformer (ViT)
- Category: Model Optimization
- Category: Large Language Modeling
- Category: Model Training
