Introduction to Deep Learning & Neural Networks with Keras
Completed by Yousef Abu Shanab
July 17, 2025
8 hours (approximately)
Yousef Abu Shanab's account is verified. Coursera certifies their successful completion of Introduction to Deep Learning & Neural Networks with Keras
What you will learn
Describe the foundational concepts of deep learning, neurons, and artificial neural networks to solve real-world problems
Explain the core concepts and components of neural networks and the challenges of training deep networks
Build deep learning models for regression and classification using the Keras library, interpreting model performance metrics effectively.
Design advanced architectures, such as CNNs, RNNs, and transformers, for solving specific problems like image classification and language modeling
Skills you will gain
- Category: Convolutional Neural Networks
- Category: Transfer Learning
- Category: Machine Learning
- Category: Image Analysis
- Category: Regression Analysis
- Category: Applied Machine Learning
- Category: Autoencoders
- Category: Natural Language Processing
- Category: Keras (Neural Network Library)
- Category: Model Training
- Category: Recurrent Neural Networks (RNNs)
- Category: Model Optimization
