Introduction to Deep Learning
Completed by Jimut Pal
May 20, 2026
18 hours (approximately)
Jimut Pal'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: Machine Learning Methods
- Category: Embeddings
- Category: Large Language Modeling
- Category: Recurrent Neural Networks (RNNs)
- Category: Model Optimization
- Category: Model Training
- Category: Vision Transformer (ViT)
- Category: Fine-tuning
- Category: Network Architecture
- Category: Generative AI
