Solutions Manual Deep Learning Andrew Ng
Solutions manual to accompany Deep Learning Specialization on Coursera.
Programming Assignments
Course A - Neural Networks and Deep Learning
Week 2 - Neural Networks Basics
Week 3 - Shallow Neural Networks
Week 4 - Deep Neural Networks
Course B - Improving Deep Neural Networks
Week 1 - Practical Aspects of Deep Learning
Week 2 - Optimization Algorithms
Week 3 - Hyperparameter Tuning, Batch Normalization and Programming Frameworks
Course D - 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 E - Sequence Models
Week 1 - Recurrent Neural Networks
Week 2 - Natural Language Processing & Word Embeddings
Week 3 - Sequence Models & Attention Mechanism
Practice Questions
Course A - 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 B - Improving Deep Neural Networks
Week 1 - Practical Aspects of Deep Learning
Week 2 - Optimization Algorithms
Week 3 - Hyperparameter Tuning, Batch Normalization and Programming Frameworks
Course C - Structuring Machine Learning Projects
Week 1 - ML Strategy (1)
Week 2 - ML Strategy (2)
Course D - 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 E - Sequence Models
Week 1 - Recurrent Neural Networks
Week 2 - Natural Language Processing & Word Embeddings
Week 3 - Sequence Models & Attention Mechanism