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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⢠Unit 1: Introduction to Deep Learning & Gradient Descent
⢠Unit 2: Understanding Gradient Descent Variants (Batch, Stochastic, Mini-batch)
⢠Unit 3: Mathematical Foundations of Gradient Descent
⢠Unit 4: Implementing Gradient Descent in Deep Learning Models
⢠Unit 5: Optimizing Learning Rates & Momentum in Gradient Descent
⢠Unit 6: Adaptive Learning Methods (AdaGrad, RMSProp, Adam)
⢠Unit 7: Vanishing & Exploding Gradients Problem in Deep Learning
⢠Unit 8: Regularization Techniques to Prevent Overfitting
⢠Unit 9: Second-Order Optimization Methods (Newton's Method, L-BFGS)
⢠Unit 10: Practical Applications & Best Practices in Gradient Descent Techniques
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