Introduction to Deep Learning & Neural Networks with Keras
Completed by MohammadMehdi Namdar
January 20, 2026
10 hours (approximately)
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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: Recurrent Neural Networks (RNNs)
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Deep Learning
- Category: Image Analysis
- Category: Artificial Neural Networks
- Category: Transfer Learning
- Category: Model Training
- Category: Network Architecture
- Category: Regression Analysis
- Category: Convolutional Neural Networks
- Category: Model Optimization
