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Training & Optimization — The Complete AI Engineer Roadmap
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Phase 2 – AI & Machine Learning & Deep Learning & Data Science fundamentalsNeural Networks & Deep Learning

Training & Optimization

2.2 · Neural Networks & Deep Learning

What You'll Learn

0 / 6 Completed
Epochs, batch size, iterations
Gradient descent variants (SGD, Momentum, Nesterov)
Optimizers: SGD, Adam, RMSProp, AdaGrad
Regularization: L1/L2, Dropout
Batch normalization, Layer normalization
Learning rate schedules, Early stopping
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