Deep Learning Certification

Another certification completed, this time is the Deep Learning Specialization from DeepLearning.AI, taught by Andrew Ng on Coursera. This five-course program covered the core areas of deep learning, from foundational concepts to advanced architectures.

I started by learning how to build and train basic neural networks, then moved on to techniques for improving model performance, including hyperparameter tuning, regularization, and optimization methods. The specialization also included best practices for structuring machine learning projects and debugging common issues.

From there, I studied convolutional neural networks for image tasks and worked with architectures like ResNet and Inception. In the final part of the program, I focused on sequence models — including RNNs, LSTMs, and attention mechanisms — and applied them to tasks like language modeling and machine translation.

On to the next one.