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/ Introduction to Deep Learning (2019)
Introduction to Deep Learning (2019)
Description
Course Curriculum
Module: 1 – Image Classification Fundamentals
Image Classification Fundamentals
00:00
Module: 2 – Data Cleaning, Production Workflows, and SGD From Scratch
Data Cleaning, Production Workflows, and SGD From Scratch
00:00
Module: 3 – Data Blocks, Multi-Label Classification, and Segmentation
Data Blocks, Multi-Label Classification, and Segmentation
00:00
Module: 4 – NLP, Tabular Data, Collaborative Filtering, and Embeddings
NLP, Tabular Data, Collaborative Filtering, and Embeddings
00:00
Module: 5 – Backpropagation, Accelerated SGD, and Building Neural Nets From Scratch
Backpropagation, Accelerated SGD, and Building Neural Nets From Scratch
00:00
Module: 6 – Regularization Techniques, Convolutions, and Data Ethics
Regularization Techniques, Convolutions, and Data Ethics
00:00
Module: 7 – ResNets From Scratch, U-Net Architecture, and Generative Adversarial Networks
ResNets From Scratch, U-Net Architecture, and Generative Adversarial Networks
00:00
$
14.00
$
114.00
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