Artificial Intelligence
3,929 learners
Gradient Descent: Building Optimization Algorithms from Scratch
Delve into the intricacies of optimization techniques with this immersive course that focuses on the implementation of various algorithms from scratch. Bypass high-level libraries to explore Stochastic Gradient Descent, Mini-Batch Gradient Descent, and advanced optimization methods such as Momentum, RMSProp, and Adam.
Python
5 lessons
21 practices
4 hours
Coding and Data Algorithms
Course details
Stochastic Gradient Descent: Theory and Implementation in Python
Observing Stochastic Gradient Descent in Action
Tuning the Learning Rate in SGD
Stochastic Sidesteps: Updating Model Parameters
Updating the Linear Regression Model Params with SGD
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