First Deep Learning Model

Beginner
10m 32s
5,371
4.6/5

This Zero to Deep Learning lesson has been expertly created to provide you with a strong foundation in machine learning and deep learning. So whether you're just starting out with your practice of machine learning or you're a more experienced data scientist that is adding deep learning to the mix, this lesson will provide the necessary skills to serve as a solid foundation for you to continue learning after the lesson has been completed.

The lesson will start out covering simple data and structured data, then moving onto images, with sound, with text, and more complex data where deep learning comes to life. By the end of the lesson, you'll be able to recognize which problems can be solved with deep learning and organize data in a way that can be used by a neural network. Understanding and learning how to build a neural network model, including fully connected, convolutional, and recurrent neural network and train a model using cloud computing, all within this lesson.

This lesson is made up of 5 cohesive lectures that start off the journey into Data and Machine Learning with Cloud Academy.

Learning Objectives

  • Learn the key principles of data and machine learning
  • Come away with a strong foundation of the subject in order to develop new skills further
  • Understanding and learning how to build neural network models

Intended Audience

  • No prior knowledge of data and machine learning required

 

 

About the Author
Students
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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.   

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