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Description of  Zero to Deep Learning Bootcamp Three - Working with Convolutional and Recurrent Neur

Cloud Academy - Zero to Deep Learning Bootcamp Three - Working with Convolutional and Recurrent Neural Networks Cloud Academy - Zero to Deep Learning Bootcamp Three - Working with Convolutional and Recurrent Neural Networks English Size: 2.69 GB Category: Tutorial 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 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. Prerequisites We recommend completing the Zero to Deep Learning Bootcamp One - Introduction to Data Science and Machine Learning Learning Path prior to starting this Learning Path. Course Agenda This Learning Path is made up of 3 expertly instructed Courses along with a final Exam to test what you have learned. Miscellaneous Provider: Cloud Academy Title: Zero to Deep Learning Bootcamp Three - Working with Convolutional and Recurrent Neural Networks Knowledge must be free. We are a 0day e-learning release group. You can find us on Discord and pass some exams together. You will know when you found us. Internal ID: CA331