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AI Capstone Project with Deep Learning
  • Level Expert
  • Duration 16 hours
  • Course by IBM
  • Offered by

About

In this capstone, learners will apply their deep learning knowledge and expertise to a real world challenge. They will use a library of their choice to develop and test a deep learning model. They will load and pre-process data for a real problem, build the model and validate it. Learners will then present a project report to demonstrate the validity of their model and their proficiency in the field of Deep Learning.

Modules

Introduction

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Opt-in to receive your badge!

1 Videos

  • Introduction

Choose One Library

    • 1 Videos
Show info about module content

1 Videos

  • Choose One Library Only (PyTorch or Keras)

PyTorch - Loading Data

    • 1 Videos
    • 1 ExternalTool
    • 1 Assignment
Show info about module content

1 Assignment

  • Download Data

1 External Tool

  • Lab: Loading Data

1 Videos

  • 1.0 Loading data.

Keras - Loading Data

    • 1 Videos
    • 1 ExternalTool
    • 1 Assignment
Show info about module content

1 Assignment

  • Loading Data with Keras

1 External Tool

  • Loading Data with Keras

1 Videos

  • Keras Stream

PyTorch - Data Preparation

    • 1 Videos
    • 1 ExternalTool
    • 1 Assignment
Show info about module content

1 Assignment

  • Data loader PyTorch

1 External Tool

  • Lab Data Preparation with PyTorch

1 Videos

  • 2.0 Data Preparation with PyTorch

Keras - Data Preparation

    • 1 ExternalTool
    • 1 Assignment
Show info about module content

1 Assignment

  • Data Preparation with Keras

1 External Tool

  • Data Preparation with Keras

PyTorch - Linear Classifier

    • 1 Videos
    • 1 ExternalTool
    • 1 Assignment
Show info about module content

1 Assignment

  • Linear Classifier PyTorch

1 External Tool

  • Lab Linear Classifier with PyTorch

1 Videos

  • Linear Classifier PyTorch Review

Keras - Pretrained Models

    • 1 ExternalTool
    • 1 Assignment
Show info about module content

1 Assignment

  • Building a Classifier with Pre-Trained Models

1 External Tool

  • Building a Classifier with ResNet50

PyTorch - Pre-trained models with Resnet-18

    • 1 Videos
    • 1 PeerReview
    • 1 ExternalTool
Show info about module content

1 External Tool

  • Pre-trained models with Resnet-18

1 Peer Review

  • PyTorch Peer Review

1 Videos

  • Pre-trained models with Resnet-18 Review PyTorch

Keras - Evaluating and Comparing Pretrained Models

    • 1 PeerReview
Show info about module content

1 Peer Review

  • Evaluating and Testing Pre-trained Models

Auto Summary

Embark on a transformative journey with the "AI Capstone Project with Deep Learning," designed for seasoned professionals in the Data Science and AI domain. This advanced course empowers learners to tackle real-world challenges by leveraging their deep learning expertise. Under the guidance of Coursera, participants will choose a preferred library to develop and rigorously test a deep learning model. The hands-on experience includes loading, pre-processing data, model building, and validation, culminating in a comprehensive project report that showcases the model's efficacy and the learner's deep learning proficiency. Spanning 960 hours, this expert-level capstone project offers flexible subscription options, including Starter and Professional plans, catering to the needs of dedicated learners aiming to solidify their skills in cutting-edge AI applications. Ideal for professionals looking to validate and exhibit their deep learning acumen, this course is a gateway to mastering AI in practical, impactful ways.

Alex Aklson
Instructors

Alex Aklson

Joseph Santarcangelo
Instructors

Joseph Santarcangelo