Course Summary
The AI Deep Learning Capstone is a project-based course designed for learners to apply the concepts they've learned in the previous courses in the Deep Learning Specialization. In this course, you will work on a project of your choice and implement a deep learning model to solve a real-world problem.Key Learning Points
- Practice implementing a deep learning model with a project of your choice
- Learn how to work with real-world datasets
- Get feedback and guidance from industry experts
Related Topics for further study
Learning Outcomes
- Ability to implement a deep learning model for a real-world problem
- Experience working with real-world datasets
- Feedback and guidance from industry experts
Prerequisites or good to have knowledge before taking this course
- Completion of previous courses in the Deep Learning Specialization
- Proficiency in Python programming
Course Difficulty Level
AdvancedCourse Format
- Project-based
- Self-paced
- Online
Similar Courses
- Machine Learning for Trading
- Applied Data Science Capstone
- Convolutional Neural Networks
Related Education Paths
- Deep Learning Specialization
- Applied Data Science with Python Specialization
- Data Engineering, Big Data, and Machine Learning on GCP Specialization
Related Books
Description
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.
Outline
- Module 1 - Loading Data
- Introduction
- Choose One Library Only (PyTorch or Keras)
- 1.0 Loading data.
- Keras Stream
- Download Data
- Loading Data with Keras
- Module 2
- 2.0 Data Preparation with PyTorch
- Data loader PyTorch
- Data Preparation with Keras
- Module 3
- Linear Classifier PyTorch Review
- Linear Classifier PyTorch
- Building a Classifier with Pre-Trained Models
- Module 4
- Pre-trained models with Resnet-18 Review PyTorch
- Peer Review Instruction
- Setup Watson Studio
Summary of User Reviews
The AI Deep Learning Capstone course on Coursera has received excellent reviews from learners. Many users found the course to be comprehensive and engaging, with hands-on projects that were particularly enjoyable.Key Aspect Users Liked About This Course
Hands-on projects that were particularly enjoyablePros from User Reviews
- Comprehensive course material
- Engaging lessons
- Hands-on projects
- In-depth coverage of deep learning concepts
- Excellent instructors
Cons from User Reviews
- Some learners found the course challenging
- Course requires prior knowledge of deep learning
- Some learners found the pace of the course too fast
- Some learners found the course to be too theoretical
- Course requires a significant time commitment
Alex Aklson
4.5 Raiting
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