[DeepLearning.AI] Neural Networks and DeepLearning (Course1)

https://youtube.com/playlist?list=PLkDaE6sCZn6Ec-XTbcX1uRg2_u4xOEky0 

Neural Networks and Deep Learning (Course 1 of the Deep Learning Specialization)

https://www.coursera.org/learn/neural-networks-deep-learning?specialization=deep-learning#syllabus 

 

Neural Networks and DeepLearning (Course1)

 

Contents

Week1 Introduction to Deep Learning

• Welcome (Deep Learning Specialization C1W1L01)
• What is a Neural Network? (C1W1L02)
• Supervised Learning with a Neural Network (C1W1L03)
• Why is deep learning taking off? (C1W1L04)
• About This Course (C1W1L05)
• Course Resources (C1W1L06)

Week2 Neural Networks Basics

• Binary Classification (C1W2L01)
• Logistic Regression (C1W2L02)
• Logistic Regression Cost Function (C1W2L03)
• Gradient Descent (C1W2L04)
• Derivatives (C1W2L05)
• More Derivative Examples (C1W2L06)
• Computation Graph (C1W2L07)
• Derivatives With Computation Graphs (C1W2L08)
• Logistic Regression Gradient Descent (C1W2L09)
• Gradient Descent on m Examples (C1W2L10)
• Vectorization (C1W2L11)
• More Vectorization Examples (C1W2L12)
• Vectorizing Logistic Regression (C1W2L13)
• Vectorizing Logistic Regression's Gradient Computation (C1W2L14)
• Broadcasting in Python (C1W2L15)
• A Note on Python/Numpy Vectors (C1W2L16)
• Quick Tour of Jupyter/iPython Notebooks (C1W2L17)
• Explanation of Logistic Regression's Cost Function (C1W2L18)

Week3 Shallow Neural Networks

• Neural Network Overview (C1W3L01)
• Neural Network Representations (C1W3L02)
• Computing Neural Network Output (C1W3L03)
• Vectorizing Across Multiple Examples (C1W3L04)
• Explanation For Vectorized Implementation (C1W3L05)
• Activation Functions (C1W3L06)
• Why Non-linear Activation Functions (C1W3L07)
• Derivatives Of Activation Functions (C1W3L08)
• Gradient Descent For Neural Networks (C1W3L09)
• Backpropagation Intuition (C1W3L10)
• Random Initialization (C1W3L11)

Week4 Deep Neural Networks

• Deep L-Layer Neural Network (C1W4L01)
• Forward Propagation in a Deep Network (C1W4L02)
• Getting Matrix Dimensions Right (C1W4L03)
• Why Deep Representations? (C1W4L04)
• Building Blocks of a Deep Neural Network (C1W4L05)
• Forward and Backward Propagation (C1W4L06)
• Parameters vs Hyperparameters (C1W4L07)
• What does this have to do with the brain? (C1W4L08)

 

 

ref.

https://www.coursera.org/specializations/deep-learning?utm_source=deeplearningai&utm_medium=institutions&utm_campaign=SocialYoutubeDLSC1W1L1 

심층 학습

https://www.deeplearning.ai/

https://read.deeplearning.ai/the-batch/

The Batch | DeepLearning.AI

https://github.com/amanchadha/coursera-deep-learning-specialization

GitHub - amanchadha/coursera-deep-learning-specialization: Notes, programming assignments and quizzes from all courses within th