Masterclass Certificate in Deep Learning: Gradient Descent Techniques
-- ViewingNowThe Masterclass Certificate in Deep Learning: Gradient Descent Techniques is a comprehensive course that focuses on one of the most essential optimization algorithms in machine learning. This certification program delves into the various types of gradient descent, addressing their advantages, disadvantages, and use cases.
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โข Unit 1: Introduction to Deep Learning & Gradient Descent
โข Unit 2: Understanding Gradient Descent Variants (Batch, Stochastic, Mini-batch)
โข Unit 3: Mathematical Foundations of Gradient Descent
โข Unit 4: Implementing Gradient Descent in Deep Learning Models
โข Unit 5: Optimizing Learning Rates & Momentum in Gradient Descent
โข Unit 6: Adaptive Learning Methods (AdaGrad, RMSProp, Adam)
โข Unit 7: Vanishing & Exploding Gradients Problem in Deep Learning
โข Unit 8: Regularization Techniques to Prevent Overfitting
โข Unit 9: Second-Order Optimization Methods (Newton's Method, L-BFGS)
โข Unit 10: Practical Applications & Best Practices in Gradient Descent Techniques
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