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Intro
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Super High level
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Deep Learning An Interface
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Deep Learning Vocabulary
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Details: How to implement the backward pass
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Details: How do we update the parameters
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Details: What is backproplagation
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Basics Review
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Matrix Multiplication
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Sigmoid
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Slight Tangent
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Recurrent Neural Networks CRNNO
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Convolutional Neural Networks (CNN)
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Robot Overlords
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Generation
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Deeper Language Understanding
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Deeper Visual Understanding
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Harder Game Playing
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Automatically Discovering Hierarchical Structure
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Learning to Use Memory
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Differentiable Data Structures
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Learning to Program
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Learning to Execute
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Module Networks
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OKI I'm pumped to deep learning some problems
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the fundamentals and applications of deep learning in this 51-minute conference talk from GOTO Copenhagen 2016. Begin with the basics of deep learning, including its definition, functionality, and how to get started. Delve into commonly used architectures such as convolutional and recurrent networks. Learn about key concepts like backward pass, parameter updates, and backpropagation. Examine matrix multiplication, sigmoid functions, and neural network types including RNNs and CNNs. Discover deep learning's potential in areas like language understanding, visual comprehension, game playing, and automated programming. Gain insights into advanced topics such as hierarchical structure discovery, memory utilization, and differentiable data structures. Conclude with an overview of module networks and the exciting possibilities deep learning offers for problem-solving across various domains.

Deep Learning - What is it and What It Can Do For You

GOTO Conferences
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