study for deeplearning.ai of coursera
https://www.coursera.org/learn/neural-networks-deep-learning/
Google colab (GPU mode) is used to run the homeworks.
Take a copy by "file / save a copy in drive" and use the copy.
Set the "runtime / change runtime type" to "GPU"
Uncheck "omit code cell out when saving this notebook"
- when: 2018.05.02 ~ 2018.06.20 ( 8 weeks ) every wednesday 5:30 pm ~ 7:30 pm
- where: servian (Level 36 - 60 Margaret St, Sydney NSW 2000)
- who: sysdenymachinelearning meetup/deeplearning.ai study/harry_potters
How to complete this course under 3 days for free
Complete Neural Networks and Deep Learning by deeplearning.ai on Coursera under 3 days for free
https://www.youtube.com/playlist?list=PLBAGcD3siRDguyYYzhVwZ3tLvOyyG5k6K
https://www.youtube.com/playlist?list=PLBAGcD3siRDguyYYzhVwZ3tLvOyyG5k6K
1. Neural Networks and Deep Learning
Week1 Introduction to deep learning
Week2 Neural Networks Basics
Week3 Shallow Neural networks
Week4 Deep Neural Networks
2. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Week1 Practical aspects of Deep Learning
Week2 Optimization algorithms
Week3 Hyperparameter tuning, Batch Normalization and Programming Frameworks
3. Structuring Machine Learning Projects
Week1 ML Strategy (1)
Week2 ML Strategy (2)
4. Convolutional Neural Network
Week1 Foundations of Convolutional Neural Networks
Week2 Deep convolutional models: case studies
Week3 Object detection
Week4 Special applications: Face recognition & Neural style transfer
Week1 Recurrent Neural Networks
Week2 Natural Language Processing & Word Embeddings
Week3 Sequence models & Attention mechanism
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What is backpropagation really doing? | Chapter 3, deep learning
https://www.youtube.com/watch?v=Ilg3gGewQ5U
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Neural Networks Demystified [Part 4: Backpropagation]
https://www.youtube.com/watch?v=GlcnxUlrtek&list=PLiaHhY2iBX9hdHaRr6b7XevZtgZRa1PoU&index=3