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deeplearning.ai

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"

    study

    1. when: 2018.05.02 ~ 2018.06.20 ( 8 weeks ) every wednesday 5:30 pm ~ 7:30 pm
    2. where: servian (Level 36 - 60 Margaret St, Sydney NSW 2000)
    3. 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

    course video

    https://www.youtube.com/playlist?list=PLBAGcD3siRDguyYYzhVwZ3tLvOyyG5k6K

    Course Contents

    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

    5. Sequence Models

  • Week1　Recurrent Neural Networks
  • Week2　Natural Language Processing & Word Embeddings
  • Week3　Sequence models & Attention mechanism

    resources

    1. What is backpropagation really doing? | Chapter 3, deep learning
      https://www.youtube.com/watch?v=Ilg3gGewQ5U

    2. Neural Networks Demystified [Part 4: Backpropagation]
      https://www.youtube.com/watch?v=GlcnxUlrtek&list=PLiaHhY2iBX9hdHaRr6b7XevZtgZRa1PoU&index=3

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