Zero to Deep Learning Bootcamp Three - Working with Convolutional and Recurrent Neural Networks

Zero to Deep Learning Bootcamp Three – Working with Convolutional and Recurrent Neural Networks | Cloud Academy
English | Size: 2.69 GB
Genre: eLearning
Introduction

This Learning Path is the third and final of three Learning Paths in the Zero to Deep Learning Bootcamp Cloud Academy has developed in collaboration with Deep Learning expert Francesco Mosconi from Calalit. The Zero to Deep Learning Bootcamp has been developed to help you master Working with Convolutional and Recurrent Neural Networks in an interactive, self paced format.

Intended Audience

Anyone interested in working with Convolution and Recurrent Neural Networks. Whether you’re just starting out with machine learning or a more experienced data scientist looking to throw deep learning into the mix, this Learning Path will provide the necessary skills to serve as a solid foundation for you to continue learning after the course has been completed.

Learning Objectives

Understand the difference between Convolutional and Recurrent Neural Networks
Recognize and explain the concepts of both Convolutional and Recurrent Neural Networks
Analyze the best ways to Improve Performance within the network environment.

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