Introduction to Deep Learning
Continue the journey to data and machine learning, with this lesson from Cloud Academy.
In previous lessons, the core principles and foundations of Data and Machine Learning have been covered and best practices explained.
This lesson gives an informative introduction to deep learning and introducing neural networks.
This lesson is made up of 12 expertly instructed lectures along with 4 exercises and their respective solutions.
Please note: the Pima Indians Diabetes dataset can be found at this GitHub repository or at Kaggle page mentioned throughout the lesson.
Learning Objectives
- Understand the core principles of deep learning
- Be able to execute all factors of the framework of neural nets
Intended Audience
- It would be advisable to complete the Intro to Data and Machine Learning lesson before starting.
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.