Introduction to Deep Learning
Completed by Deepak Koli
April 22, 2026
18 hours (approximately)
Deepak Koli'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: Network Architecture
- Category: Recurrent Neural Networks (RNNs)
- Category: Fine-tuning
- Category: Model Optimization
- Category: Vision Transformer (ViT)
- Category: Generative AI
- Category: Model Training
- Category: Large Language Modeling
- Category: Machine Learning Methods
- Category: Embeddings
