Modern Deep Learning Foundations
Modern Deep Learning Foundations
English | 2025 | h264, yuv420p, 1280x720 | 48000 Hz, 2channels | Duration: 2h 2m | 647 MB
English | 2025 | h264, yuv420p, 1280x720 | 48000 Hz, 2channels | Duration: 2h 2m | 647 MB
In this 2-hour course, you’ll gain a practical and conceptual understanding of deep learning—from its foundations to modern architectures and industrial deployment. You’ll explore neural networks, CNNs, RNNs, transformers, and hands-on tools like TensorFlow and PyTorch to build and deploy models effectively.
What I will be able to do after this course
Explain the differences between ML and deep learning
Build and train neural networks from scratch
Apply CNNs, RNNs, and transformers to real tasks
Optimize training using regularization and augmentation
Use TensorFlow, PyTorch, and Google Colab effectively
Course Instructor(s)
Dr. Barak Or is an AI expert and Academic Director of Google's AI Development Program. He founded MetaOr.AI and has led innovation in ML-based navigation and health tech. Holding a Ph.D. in inertial sensing, he has earned multiple national innovation awards.