Performance Tuning Deep Learning Models Master Class

About this course

** Mike's courses are popular with many of our clients." Josh Gordon, Developer Advocate, Google **Great course to see the impacts of model inputs, such as the quantity of epochs, batch size, hidden layers, and nodes, on the accuracy of the results. - KevinBest course on neural network tuning I've taken thus far. -Jazon SamillanoVery nice explanation. - MohammadWelcome 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. What are you going to Learn?  An introduction to the problem of overfitting and a tour of regularization techniquesAccelerate learning through better configure