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Performance Tuning Deep Learning Models Master Class

Performance Tuning Deep Learning Models Master Class
Udemy Course Performance Tuning Deep Learning Models Master Class | Coupon ED
Welcome to Performance Tuning Deep Learning Models Master Class. Deep learning neural networks have become easy to create. However
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What you'll learn
  • How to accelerate learning through better configured stochastic gradient descent batch size and loss functions.
  • How to combine the predictions from multiple models saved during a single training run.
  • How to accelerate learning through choosing better initial weights with greedy layer-wise pretraining and transfer learning.
  • How to reduce overfitting by updating the loss function using techniques such as weight regularization, weight constraints, and activation regularization.
  • How to combine the predictions from multiple different models using techniques such as weighted averaging ensembles and stacked generalization ensembles, also known 
 Description
Welcome to Performance Tuning Deep Learning Models Master Class.
Deep learning neural networks have become easy to create. However, tuning these models for maximum performance remains something of a challenge for most modelers. This course will teach you how to get results as a machine learning practitioner. This is a step-by-step course in getting the most out of deep learning models on your own predictive modeling projects.
My name is Mike West and I'm a machine learning engineer in the applied space. I've worked or consulted with over 50 companies and just finished a project with Microsoft. I've published over 50 courses and this is 53 on Udemy. If you're interested in learning what the real-world is really like then you're in good hands.
This course was designed around three main activities for getting better results with deep learning models: better or faster learning, better generalization to new data, and better predictions when using final models.
Who is this course for?
This course is for developers, machine learning engineers and data scientists that want to enhance the performance of their deep learning models. This is an intermediate level to advanced level course. It's highly recommended the learner be proficient with Python, Keras and machine learning.

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