Cloud Academy – Getting Started With Deep Learning Improving Performance

Cloud Academy – Getting Started With Deep Learning Improving Performance-STM
English | Size: 949.85 MB
Category: Tutorial

Move on from what you learned from studying the principles of recurrent neural networks, and how they can solve problems involving sequencing, with this cohesive course on Improving Performace. Learn to improve the performance of your neural networks by starting with learning curves that allow you to answer the right questions. This could be needing more data or, even, building a better model to improve your performance
Further into the course, you will explore the fundamentals around bash normalization, drop-out, and regularization This course also touches on data augmentation and its ability to allow you to build new data from your starting training data, culminating in hyper-parameter optimization
This is a tool to that aids in helping you to decide how to tune the external parameters of your network This course is made up of 13 lectures and three
accompanying exercises. This Cloud Academy course is in collaboration with Catalit
Learning Objectives

Learn how to improve the performance of your neural networks
Learn the skills necessary to make executive decisions when
working with neural networks

Intended Audience

It is recommended to complete the Introduction to Data and
Machine Learning course before starting

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