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Google Machine Learning Bootcamp 2024
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Google Machine Learning Bootcamp 2024

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Curriculum

Course Syllabus Start Deadline
1st course: Neural Networks and Deep Learning Introduction to deep learning 7/1 7/12
Neural Networks Basics
Shallow neural networks
Deep Neural Networks
2nd course: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization Practical aspects of Deep Learning 7/12 7/23
Optimization algorithms
Hyperparameter tuning, Batch Normalization and Programming Frameworks
3rd course: Structuring Machine Learning Projects ML Strategy (1) 7/23 7/30
ML Strategy (2)
4th course: Convolutional Neural Networks Foundations of Convolutional Neural Networks 7/30 8/12
Deep convolutional models: case studies
Object detection
Special applications: Face recognition & Neural style transfer
5th course: Sequence Models Recurrent Neural Networks 8/12 8/24
Natural Language Processing & Word Embeddings
Sequence models & Attention mechanism
Transformer Network



Goals

  1. The duration per lesson is one week
  2. Organize what you learned in the course and upload it to github
  3. Solve testing and programming challenges yourself, not with ChatGPT