Deep Learning Specialization
Autonomous Systems & Medical Intelligence
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Phase 1
Fundamentals
1
What is deep learning?
FreeDefining AI, Machine Learning, and the Power of Depth
2
Mathematics behind the Neural Network
FreeTensors, Hardware Acceleration, and the Engine of Optimization
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3
Understanding the Tools
RegisterKeras 3, Multi-Backend Power, and the Rise of JAX
5
Machine Learning Fundamentals
RegisterGeneralization, Evaluation, and Optimization
7
Understanding Keras
RegisterTechnical Mastery: Building, Training, and Introspection
Phase 2
Working with Data
4
Classification & Regression Mastery
RegisterLoss Functions, Metrics, and Probability Calibration
6
The Universal Workflow of Machine Learning
RegisterFrom Problem Definition to Production MLOps
8
Computer Vision with ConvNets
RegisterArchitectural Mastery and Real-time Spatial Intelligence
9
Time Series & Recurrent Neural Networks
RegisterLSTMs, GRUs, and Temporal Sequence Deep Study
10
NLP & Transformers
RegisterFrom Tokens to Self-Attention and Generative AI