This repository is solely dedicated to my study of Andrew Ng's Deep Learning Specialization
Jupyter Notebook
Deep-Learning-Specialization
This repository is solely dedicated to my study of Andrew Ng's Deep Learning Specialization. This repository will track of my progress and my hands-on exercises.
Course 1: Neural Networks and Deep Learning
✔️ Week 1: Introduction to Deep Learning
✔️ Week 2: Neural Networks Basics
✔️ Week 3: Shallow Neural Networks
✔️ Week 4: Deep Neural Networks
Course 2: Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
✔️ Week 1: Practical Aspects of Deep Learning
✔️ Week 2: Optimization Algorithms
✔️ Week 3: Hyperparameter tuning, Batch Normalization and Programming Frameworks
Course 3: Structuring Machine Learning Projects
✔️ Week 1: ML strategy (1)
✔️ Week 2: ML Strategy (2)
Course 4: Convolutional Neural Networks
✔️ Week 1: Foundations of Convolutional Neural Networks
✔️ Week 2: Deep Convolutional Models: Case Studies
✔️ Week 3: Object Detection
✔️ Week 4: Special Applications: Face Recognition & Neural Style Transfer
Course 5: Sequence Models
✔️ Week 1: Recurrent Neural Networks
✔️ Week 2: Natural Language Processing & Word Embeddings
