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

Developed with Catalit
This content is developed in partnership with Catalit
Duration3h 32m



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 ...

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Your certificate for this learning path

Learning Path Steps

1 courses

In this course, discover convolutions and the convolutional neural networks involved in Data and Machine Learning. Introducing the concept of tensor, which is essential for everything that follows. Learn to apply the right kind of data such as images. Imag...

2 courses

From the internals of a neural net to solving problems with neural networks to understanding how they work internally, this course expertly covers the essentials needed to succeed in machine learning. This course moves on from cloud computing power and cov...

3 courses

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 sta...

4 exam-filled

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

About the Author

Learning paths1

I am a Data Science consultant and trainer. With Catalit I help companies acquire skills and knowledge in data science and harness machine learning and deep learning to reach their goals. With Data Weekends I train people in machine learning, deep learning and big data analytics. I served as lead instructor in Data Science at General Assembly and The Data Incubator and I was Chief Data Officer and co-­founder at Spire, a Y-Combinator-­backed startup that invented the first consumer wearable device capable of continuously tracking respiration and activity. I earned a joint PhD in biophysics at University of Padua and Université de Paris VI and graduated from Singularity University summer program of 2011.