by Zacharias Voulgaris | Released February 2018 | ISBN: None

Explore deep learning and how it applies to data science and compares to traditional machine learning. See how deep learning works in terms of both architecture and design, and learn about different frameworks including Apache MXNet, PyTorch, and TensorFlow. Related concepts are covered including Artificial Neural Networks (ANNs), Multi-Layer Perceptrons (MLPs), and Natural Language Processing (NLP). Programming languages including Python and Julia are discussed.Here is a link to all of Zacharias Voulgaris' machine learning, data science, and artificial intelligence (AI) videos. Show and hide more

1. Deep Learning: Facts, Frameworks, and Functionality 00:28:04
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