Enrolled in Andrew Ng’s renowned Deep Learning Specialization on Coursera to deepen my understanding of neural networks and prepare for my upcoming PhD research.
Course Structure
The specialization covers:
- Neural Networks and Deep Learning: Fundamentals of deep learning
- Improving Deep Neural Networks: Hyperparameter tuning and optimization
- Structuring Machine Learning Projects: Best practices for ML projects
- Convolutional Neural Networks: Computer vision applications
- Sequence Models: RNNs, LSTMs, and Transformers
Why This Matters
While I have practical experience with deep learning, this specialization will:
- Solidify theoretical foundations
- Fill any knowledge gaps before starting PhD research
- Provide structured learning from one of the field’s pioneers
- Enhance my teaching abilities for future TA positions
Progress So Far
Completed the first course with a perfect score and excited to continue building this foundation before diving into cutting-edge research!