Topics
Advanced Practical Data Science
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Lecture 6: Computer Vision: Classification, Segmentation, Distillation and Compression
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Lecture 9: NLP & Language Models, Transfer Learning and SOTA Models
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Lecture 4: Data Pipelines, Tensorflow Data, Tensorflow Records, Dask, Cloud Storage (GCS)
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Lecture 2: Data Pipelines, Tensorflow Data, Tensorflow Records, Dask, Cloud Storage (GCS)
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Lecture 1: Introduction to Course/Projects - Lecture, Problem Definition, Proposed Solutions, Project Scope
Deployment
Guest Lecture
Introduction
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Lecture 6: Computer Vision: Classification, Segmentation, Distillation and Compression
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Lecture 9: NLP & Language Models, Transfer Learning and SOTA Models
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Lecture 4: Data Pipelines, Tensorflow Data, Tensorflow Records, Dask, Cloud Storage (GCS)
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Lecture 2: Data Pipelines, Tensorflow Data, Tensorflow Records, Dask, Cloud Storage (GCS)
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Lecture 1: Introduction to Course/Projects - Lecture, Problem Definition, Proposed Solutions, Project Scope
Production
TF Data
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Lecture 6: Computer Vision: Classification, Segmentation, Distillation and Compression
-
Lecture 9: NLP & Language Models, Transfer Learning and SOTA Models
-
Lecture 4: Data Pipelines, Tensorflow Data, Tensorflow Records, Dask, Cloud Storage (GCS)
-
Lecture 2: Data Pipelines, Tensorflow Data, Tensorflow Records, Dask, Cloud Storage (GCS)
-
Lecture 1: Introduction to Course/Projects - Lecture, Problem Definition, Proposed Solutions, Project Scope
Virtual Environments
Virtual Machines