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AI Capstone Project with Deep Learning
Coursera
Course
Unknown

AI Capstone Project with Deep Learning

IBM

Apply AI and deep learning skills in a practical capstone project by building and deploying models using Keras and PyTorch with complete evaluation.

Unknown4 weeksEnglish

About this Course

Ready to apply your AI skills in a real-world scenario you can showcase in your portfolio? During this project, you’ll work with the deep learning skills you’ve acquired throughout the Professional Certificate, and we recommend that you have completed all the previous courses before starting this one. For this project, you’ll build and compare deep learning models using Keras and PyTorch, and work through a full development pipeline from data loading and augmentation to model training, eval

What You'll Learn

  • Build deep learning models with Keras and PyTorch for image classification
  • Design and execute complete model development pipelines
  • Apply CNNs and vision transformers to domain-specific challenges
  • Present project results with comprehensive evaluation

Prerequisites

  • Prior experience in deep learning and machine learning
  • Proficiency in Python programming and related tools

Instructors

J

Joseph Santarcangelo

IBM Developer Skills Network

A

Aman Aggarwal

T

Tenzin Migmar

Topics

PyTorch (Machine Learning Library)
Data Preprocessing
Machine Learning
Convolutional Neural Networks
Data Pipelines
Deep Learning
Transfer Learning
Model Deployment
Vision Transformer (ViT)
Model Evaluation

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

PyTorch
معالجة البيانات
التعلم الآلي
الشبكات العصبية الالتفافية
سير عمل البيانات
التعلم العميق
التعلّم بالنقل
نشر النماذج
Vision Transformer (ViT)
Model Evaluation

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