Need help with Deep_Learning?
Click the “chat” button below for chat support from the developer who created it, or find similar developers for support.

About the developer

139 Stars 172 Forks 2 Commits 1 Opened issues


added all materials

Services available


Need anything else?

Contributors list

No Data

Neural Networks for Machine Learning

Improving Deep Neural Networks_Hyperparameter Tuning_Regularization and Optimization

structuring machine learning projects

convolutional neural networks

sequence models

Deep Learning

  • [x] Neural Networks and Deep Learning
  • [x] Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
  • [x] Structuring Machine Learning Projects
  • [x] Convolutional Neural Networks
  • [x] Sequence Models

Deep Learning -

Coursera Deep Learning Course by projects

## Course 1. Neural Networks and Deep Learning 1. Week1 - Introduction to deep learning 2. Week2 - Neural Networks Basics 3. Week3 - Shallow neural networks 4. Week4 - Deep Neural Networks

Course 2. Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization

  1. Week1 - Practical aspects of Deep Learning - Setting up your Machine Learning Application - Regularizing your neural network - Setting up your optimization problem
  2. Week2 - Optimization algorithms
  3. Week3 - Hyperparameter tuning, Batch Normalization and Programming Frameworks

Course 3. Structuring Machine Learning Projects

  1. Week1 - Introduction to ML Strategy - Setting up your goal - Comparing to human-level performance
  2. Week2 - ML Strategy (2) - Error Analysis - Mismatched training and dev/test set - Learning from multiple tasks - End-to-end deep learning

## Course 4. Convolutional Neural Networks 1. Week1 - Foundations of Convolutional Neural Networks 2. Week2 - Deep convolutional models: case studies 3. Week3 - Object detection - Papers for read: You Only Look Once: Unified, Real-Time Object Detection, YOLO 4. Week4 - Special applications: Face recognition & Neural style transfer - Papers for read: DeepFace, FaceNet

## Course 5. Sequence Models 1. Week1 - Recurrent Neural Networks 2. Week2 - Natural Language Processing & Word Embeddings 3. Week3 - Sequence models & Attention mechanism

source from *Andrew Ng*'s Deep learning course on Coursera

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.