This course introduces the pivotal components of deep learning. You learn how to build deep feedforward, convolutional, and recurrent networks.
DurationThis course introduces the pivotal components of deep learning. You learn how to build deep feedforward, convolutional, and recurrent networks.
Neural networks are used to solve problems that include traditional classification, image classification, and sequence-dependent outcomes.
The course contains a healthy mix of theory and application. Hands-on demonstration and practice problems are included to reinforce key concepts.
Hyperparameter search methods are described and demonstrated to find an optimal set of deep learning models. Lastly, transfer learning is covered because the emergence of this field has shown promise in deep learning.
Prerequisites
Before attending this course, you should have at least an introductory-level familiarity with basic neural network modeling and basic machine learning.
You can gain this experience by completing the cpml course or the Neural Networks: Essentials course. Previous SAS software experience is helpful but not required.
Our vision and mission are based on the belief that analytics changes the world.Connecting analytics and advocacy to create something new, better, purposeful and lasting.
Our Vision
To be the most trustworthy analytics partner on the planet.
We envision a world where everyone can make better decisions, grounded in trusted data and assisted by the productivity and speed of SAS® AI and analytics.
When decisions need to happen at just the right moment, you need the world’s most trustworthy analytics brand and people to give you confidence.
Our Mission
To provide knowledge in the moments that matter.
Making it easier and faster for more people to use powerful analytics shortens the path from data to insights and inspires bold new discoveries that drive progress.
The result is analytics that breaks down barriers, fuels ambition and gets results in the moments that matter most. Read about our mission in action.
Our Values
From the software we create to the conversations we share, our core values inform partners, customers and prospects about the type of relationship they can expect when they work with us.
Deep learning is fast becoming among the most popular trends to be embraced by high profile companies. Powered by big data, Deep Learning has made business more viable across healthcare, genomics, cybersecurity, e-commerce, agriculture and other sectors.
The Certified Deep Learning Specialist (CDLS) course is aimed at data scientists to build complex models with human-like intelligence using Machine Learning and Deep Learning techniques.
This two-day course provides a comprehensive introduction to practical deep learning using MATLAB®. Attendees will learn how to create, train, and evaluate different kinds of deep neural networks. The instructor-led training uses NVIDIA GPUs to accelerate network training.
This certification equips students with practical industry coveted skillsets through real-life projects and subsequently transformative leadership with an end-to-end perspective on data science and machine learning.
Our Deep learning with Python Training helps you in mastering various features of Debugging concepts, Introduction to Software programmers, Language abilities and capacities, Modification of module and pattern designing, Various OS and compatibilities approaches.
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