Improving Neural Networks: Loss Function & Optimization

Neural Networks
  • 10 Videos | 1h 7m 45s
  • Includes Assessment
  • Earns a Badge
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Learners can explore the concept of loss function, the different types of Loss function and their impact on neural networks, and the causes of optimization problems, in this 10-video course. Examine alternatives to optimization, the prominent optimizer algorithms and their associated properties, and the concept of learning rates in neural networks for machine learning solutions. Key concepts in this course include learning loss function and listing various types of loss function; recognizing impacts of the different types of loss function on neural networks models; and learning how to calculate loss function and score by using Python. Next, learners will learn to recognize critical causes of optimization problems and essential alternatives to optimization; recall prominent optimizer algorithms, along with their properties that can be applied for optimization; and how to perform comparative optimizer analysis using Keras. Finally, discover the relevance of learning rates in optimization and various approaches of improving learning rates; and learn the approach of finding learning rate by using RMSProp optimizer.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    define Loss function and list the various types of loss function
    recognize the impacts of the different types of loss function on neural networks models
    calculate loss function and score using Python
    recognize the critical causes of optimization problems and the essential alternatives to optimization
  • recall the prominent optimizer algorithms along with their properties that can be applied for optimization
    demonstrate how to perform comparative optimizer analysis using Keras
    recognize the relevance of learning rates in optimization and list the various approaches of improving learning rates
    demonstrate the approach of finding learning rate using RMSProp optimizer
    recall the different types of loss functions, list the prominent cause of optimization problems, and calculate loss function using Python

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 20s
    UP NEXT
  • Playable
    2. 
    Loss Function
    4m 19s
  • Locked
    3. 
    Impact of Loss Function
    8m 39s
  • Locked
    4. 
    Calculating Loss Function
    5m 56s
  • Locked
    5. 
    Causes of Optimization Problems
    8m 39s
  • Locked
    6. 
    Optimizer Algorithms
    9m 16s
  • Locked
    7. 
    Comparing Optimizer Algorithms
    6m 6s
  • Locked
    8. 
    Learning Rate Optimizations
    5m 20s
  • Locked
    9. 
    Implement Learning Rate Optimizer
    8m 17s
  • Locked
    10. 
    Exercise: Working with Loss Function
    5m 53s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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