开源软件名称: enggen/Deep-Learning-Coursera开源软件地址: https://github.com/enggen/Deep-Learning-Coursera开源编程语言:
Jupyter Notebook
100.0%
开源软件介绍: Deep Learning Specialization on Coursera
This is my personal projects for the course. The course covers deep learning from begginer level to advanced. Highly recommend anyone wanting to break into AI.
Instructor: Andrew Ng, DeepLearning.ai
Week1 - Introduction to deep learning
Week2 - Neural Networks Basics
Week3 - Shallow neural networks
Week4 - Deep Neural Networks
Week1 - Practical aspects of Deep Learning
- Setting up your Machine Learning Application
- Regularizing your neural network
- Setting up your optimization problem
Week2 - Optimization algorithms
Week3 - Hyperparameter tuning, Batch Normalization and Programming Frameworks
Week1 - Introduction to ML Strategy
- Setting up your goal
- Comparing to human-level performance
Week2 - ML Strategy (2)
- Error Analysis
- Mismatched training and dev/test set
- Learning from multiple tasks
- End-to-end deep learning
Week1 - Foundations of Convolutional Neural Networks
Week2 - Deep convolutional models: case studies - Papers for read: ImageNet Classification with Deep Convolutional
Neural Networks , Very Deep Convolutional Networks For Large-Scale Image Recognition
Week3 - Object detection - Papers for read: You Only Look Once:
Unified, Real-Time Object Detection , YOLO
Week4 - Special applications: Face recognition & Neural style transfer - Papers for read: DeepFace , FaceNet
Week1 - Recurrent Neural Networks
Week2 - Natural Language Processing & Word Embeddings
Week3 - Sequence models & Attention mechanism
*************************************************************************************************************************************
请发表评论