Lecture 11A: Deploying ML Models (Full Stack Deep Learning - Spring 2021)
Lecture 11A: Deploying ML Models (Full Stack Deep Learning - Spring 2021)
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Lecture 11A: Deploying ML Models (Full Stack Deep Learning - Spring 2021)

Lecture 11A: Deploying ML Models (Full Stack Deep Learning - Spring 2021)

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Lecture 11B: Monitoring ML Models (Full Stack Deep Learning - Spring 2021)

Lecture 11B: Monitoring ML Models (Full Stack Deep Learning - Spring 2021)

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Lecture 12: Research Directions (Full Stack Deep Learning - Spring 2021)

Lecture 12: Research Directions (Full Stack Deep Learning - Spring 2021)

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Lecture 2: Setting Up Machine Learning Projects - Full Stack Deep Learning - March 2019

Lecture 2: Setting Up Machine Learning Projects - Full Stack Deep Learning - March 2019

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Lab 5: Experiment Management (Full Stack Deep Learning - Spring 2021)

Lab 5: Experiment Management (Full Stack Deep Learning - Spring 2021)

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Lecture 9: Testing and Deployment - Full Stack Deep Learning - March 2019

Lecture 9: Testing and Deployment - Full Stack Deep Learning - March 2019

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Panel Discussion: Do I need a PhD to work in ML? (Full Stack Deep Learning - Spring 2021)

Panel Discussion: Do I need a PhD to work in ML? (Full Stack Deep Learning - Spring 2021)

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Lecture 10: ML Testing & Explainability (Full Stack Deep Learning - Spring 2021)

Lecture 10: ML Testing & Explainability (Full Stack Deep Learning - Spring 2021)

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Lukas Biewald on Founding Weights & Biases and FigureEight (Full Stack Deep Learning - March 2019)

Lukas Biewald on Founding Weights & Biases and FigureEight (Full Stack Deep Learning - March 2019)

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Top 10 Final Projects (Full Stack Deep Learning - Spring 2021)

Top 10 Final Projects (Full Stack Deep Learning - Spring 2021)

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Lecture 6: Infrastructure & Tooling (Full Stack Deep Learning - Spring 2021)

Lecture 6: Infrastructure & Tooling (Full Stack Deep Learning - Spring 2021)

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Docker (4) - Testing & Deployment - Full Stack Deep Learning

Docker (4) - Testing & Deployment - Full Stack Deep Learning

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Labeling (3) - Data Management - Full Stack Deep Learning

Labeling (3) - Data Management - Full Stack Deep Learning

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How to Deploy and Manage Machine Learning in Production?

How to Deploy and Manage Machine Learning in Production?

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From Prototype to Production: A Successful Process for Deploying Machine Learning Models

From Prototype to Production: A Successful Process for Deploying Machine Learning Models

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Lab 4: Transformers (Full Stack Deep Learning - Spring 2021)

Lab 4: Transformers (Full Stack Deep Learning - Spring 2021)

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Five Steps for Deploying Machine Learning Models Into Production

Five Steps for Deploying Machine Learning Models Into Production

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ESWEEK 2021 Education - Neural Networks and Accelerator Co-Design

ESWEEK 2021 Education - Neural Networks and Accelerator Co-Design

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3rd Place - Challenge 11A: Cost Prediction Model

3rd Place - Challenge 11A: Cost Prediction Model

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Fast track AI and ML deployment with isquare

Fast track AI and ML deployment with isquare

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