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Deep Learning for Non-Programmers
This course provides a fun and non-technical introduction to Deep Learning. Students will get conceptual understanding of how unstructured data such as text, images data are understood by machines to perform tasks such as image and text classification and clustering.
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Practical NLP
This Practical NLP (Natural Language Processing) course is intended for software engineers and data scientists who are interested in incorporating NLP into their production systems.
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Deep Learning & Artificial Intelligence with Apache Spark
This course teaches doing Deep Learning and Artificial Intelligence at Scale with the popular Apache Spark framework.
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Deep Learning: Hands On using TensorFlow & Keras
Artificial Intelligence and machine learning are the cornerstones of the next revolution in computing.
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Byte-Sized Deep Learning Series: Applied Deep Learning for Natural Language Understanding
This 90-minute session will explore the application of deep learning models known as transformers to solve common natural language understanding tasks.
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Byte-Sized Deep Learning Series: Understanding Language
This 90-minute session will explore the use of deep learning and the role of recurrent neural networks in language understanding.
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Byte-Sized Deep Learning Series: Image Recognition
This course is for those who are interested in gaining an understanding of how deep learning is used to recognize and classify images
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Byte-Sized Deep Learning Series: Introducing Neural Networks
This course is for those who would like to understand how to apply deep learning to common natural language understanding tasks.
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Deep Learning on Google Cloud Platform
Duration: 1 Day Code: BDT72Category:
All Courses,Cloud Engineer GCP Learning Journey,GCP: Google Cloud Platform,This “Deep Learning on GCP” class will provide you with a solid understanding of both deep learning and how to use Google Cloud Platform to create and train deep learning models, in the cloud.
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Deep Dive Deep Learning
This Deep Dive into Deep Learning class will provide you with a solid understanding of neural networks and their contributions to deep learning.