Deep learning is the fastest-growing method in AI, with methodological innovations constantly being developed. In this course, we will deep dive into neural networks and teach you how to build your own using Keras. The second half of the training will equip you with the knowledge to increase model performance and confidently interpret and explain network behavior.
Why is this for you?
Deep learning and neural networks are among the fastest growing and hottest machine learning algorithms. And for a good reason, they can do most anything that classical methods can do, and much more. Their applications range from classification modeling to image recognition and controlling autonomous systems. In this module, we will unravel the mysteries surrounding deep learning, show you how to build your own neural networks and how to utilize them to their full potential.
Who should attend?
We welcome Data Scientists and anyone who is eager to learn about the fastest-growing and most advanced machine learning techniques. Deep learning is challenging to understand with many technical concepts, therefore, you must have completed our Machine Learning Process (3201) and Classification Using Tree Models (3202) badges to benefit from the content of this course.
What will you learn?
- General principles and setup of a deep learning algorithm
- Convolutional and recurrent neural networks
- To build a neural network in Tensorflow and Keras
- Interpreting the results of your neural network
- Theory behind deep learning – Understand an explain how a neural network works
- Use cases of deep learning – Know when to apply which neural networks in use cases
- Build a simple neural network – Skilled at building a neural network using Keras
- Tuning a neural network – Increase model performance through accuracy and model performance
- Interpretability of neural networks – Confident at interpreting and explaining the neural networks behavior
Theory and practical use
All trainings in the GAIn portfolio combine high-quality standardized training material with theory sessions from experts and hands-on experience where you directly apply the material to real-life cases. Each training is developed by top of the field practitioners which means they are full of industry examples along with practical challenges and know-how, fueling the interactive discussions during training. We believe this multi-level approach creates the ideal learning environment for participants to thrive.
- Machine Learning
- Deep Learning
Open Course Schedule
MIacademy does offer part of its portfolio in an Open Course Schedule Format in our location in the center of Amsterdam. Via the form below you can register your interest to participate. Our team will contact you to finalize the booking and answer any questions you may have.
All of our courses are delivered by our expert trainers.
If no dates are mentioned. The specific course is not scheduled yet in 2020. If this is the case you can use the form to register your interest. In case there is enough demand MIacademy can schedule additional courses and will notify you.
Are you are interested to train a larger group of people, looking for specific training pe or and/or interested in creating a company-wide program? We will be happy to assist!
Whether you have a very specific training need (for example: training your Data Engineers on advanced technical topics, or your Data Scientists on model implementation), or the need for a large transformational program, or something in between, we can help. Over the past 13 years, we have built up extensive experience not only in the implementation of multi-year, multi-population, multi-country programs but also in providing high quality, very specific modules for specific target groups. Both in in-house set-ups and cross-company programs. Not sure what type of program would fit your organization best? We’d be happy to discuss the best approach together.