Deep-Learning-Specialization
1.Course 1: Neural Networks and Deep Learning
Week 1: Introduction to Deep Learning | Week 2: Neural Networks Basics | Week 3: Shallow Neural NetworksWeek | 4: Deep Neural Network
2.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 Fra
3.Course 3: Structuring Machine Learning Projects
Week 1: ML Strategy 1 | Week 2: ML Strategy 2
4.Course 4: Convolutional Neural Networks
Week 1: Foundations of Convolutional Neural Networks | Week 2: Deep CNN Models | Week 3: Object Detection | Week 4: Special Applications: One-shot Lea
5.Course 5: Sequence Models
Week 1: Recurrent Neural Networks | Week 2: Natural Language Processing & Word Embeddings | Week 3: Sequence Models & Attention Mechanism | Week 4: Tr
6.epoch과 step
딥 러닝에서 "에포크"와 "스텝"은 훈련 과정의 서로 다른 측면을 나타내는 관련된 개념입니다.에포크는 신경망 훈련 중 전체 훈련 데이터 집합을 완전히 한 번 통과하는 것을 나타냅니다.모델이 전체 데이터 집합을 보고 학습하는 횟수를 나타내는 것이며,각 에포크에서는 모델의