Deep Learning Decal Fall 2017 Lecture 1: Introduction and Deep Learning Basics
Deep Learning Decal Fall 2017 Lecture 1: Introduction and Deep Learning Basics
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Deep Learning Decal Fall 2017 Lecture 1: Introduction and Deep Learning Basics

Deep Learning Decal Fall 2017 Lecture 1: Introduction and Deep Learning Basics

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Deep Learning Decal Fall 2017 Lecture 2: Convolutional Neural Networks

Deep Learning Decal Fall 2017 Lecture 2: Convolutional Neural Networks

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Deep Learning Decal Fall 2017 Lecture 3: Recurrent Neural Networks

Deep Learning Decal Fall 2017 Lecture 3: Recurrent Neural Networks

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Data Science Decal Fall 2017 Day 8: Convolutional and Recurrent Neural Networks

Data Science Decal Fall 2017 Day 8: Convolutional and Recurrent Neural Networks

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Deep Learning Decal Fall 2017 Lecture 4: Optimization, Methodology, Applications

Deep Learning Decal Fall 2017 Lecture 4: Optimization, Methodology, Applications

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Deep Learning Decal Fall 2017 Lecture 5: Linear Factor Models

Deep Learning Decal Fall 2017 Lecture 5: Linear Factor Models

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Data Science Decal Fall 2017 Lecture 2: Data Science 101

Data Science Decal Fall 2017 Lecture 2: Data Science 101

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Intro to Deep Learning:

Intro to Deep Learning:

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Feb. 6, 2017 Kaggle Decal Lecture 1: Class logistics and setting up tools

Feb. 6, 2017 Kaggle Decal Lecture 1: Class logistics and setting up tools

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Visualization for Data Science CS 5630 6630 Fall 2017 Lecture 1

Visualization for Data Science CS 5630 6630 Fall 2017 Lecture 1

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Deep Learning using a Convolutional Neural Network (1/6): Deep Learning Fundamentals & GPGPUs

Deep Learning using a Convolutional Neural Network (1/6): Deep Learning Fundamentals & GPGPUs

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Data Science Decal Fall 2017 Lecture 11: Clustering

Data Science Decal Fall 2017 Lecture 11: Clustering

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Data Science Decal Fall 2017 Lecture 4: Logistic Regression and Regularization

Data Science Decal Fall 2017 Lecture 4: Logistic Regression and Regularization

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Data Science Decal Fall 2017 Lecture 3: Linear Regression

Data Science Decal Fall 2017 Lecture 3: Linear Regression

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Deep Learning Decall Fall 2017 Day 6: Autoencoders and Representation Learning

Deep Learning Decall Fall 2017 Day 6: Autoencoders and Representation Learning

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Open Class: Machine Learning with UC Berkeley Professor

Open Class: Machine Learning with UC Berkeley Professor

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D2L2 Recurrent Neural Networks I (by Santiago Pascual)

D2L2 Recurrent Neural Networks I (by Santiago Pascual)

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DeCal Spotlight #5: Magic!

DeCal Spotlight #5: Magic!

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Recurrent Neural Networks (DLAI D7L1 2017 UPC Deep Learning for Artificial Intelligence)

Recurrent Neural Networks (DLAI D7L1 2017 UPC Deep Learning for Artificial Intelligence)

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Artificial Intelligence | Deep Learning Pt 2 – Sequence Modeling

Artificial Intelligence | Deep Learning Pt 2 – Sequence Modeling

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