Modern Deep Learning Foundations
Explore Deep Learning with CNNs, Transformers, and Real-World Deployment Tools
Created by Dr. Barak Or - ArtificialGate
Build a strong foundation in deep learning by exploring neural networks, key architectures like CNNs and Transformers, and practical deployment techniques. Gain hands-on experience with popular frameworks and learn how to move from theory to real-world applications.
Packt | Nov 2025 | 123 min
What You Will Learn
Start by understanding the basics of neural networks and how deep learning differs from traditional machine learning. Progress through hands-on coding with CNNs, RNNs, and Transformers, using both TensorFlow and PyTorch. Each topic is reinforced with practical exercises and real-world examples to help you build, optimize, and deploy models confidently.
Key Features
- Develop and train neural networks using TensorFlow and PyTorch in real scenarios
- Apply CNNs, RNNs, and Transformers to solve image and sequence data problems
- Master deployment workflows, model explainability, and optimization techniques
Target Audience
Perfect for data scientists, machine learning engineers, and developers who know Python and have some background in math and machine learning. If you're ready to move beyond theory and start building production-ready deep learning solutions, this course will help you reach that goal.
