Getting Digital

Pengolahan Citra/ Computer Vision Deep Learning Pytorch

Develop essential data science & ai skills with expert instruction and practical examples.

Online Course
Self-paced learning
Flexible Schedule
Learn at your pace
Expert Instructor
Industry professional
Certificate
Upon completion
What You'll Learn
Master the fundamentals of data science & ai
Apply best practices and industry standards
Build practical projects to demonstrate your skills
Understand advanced concepts and techniques

Skills you'll gain:

Professional SkillsBest PracticesIndustry Standards
Prerequisites & Target Audience

Skill Level

IntermediateSome prior knowledge recommended

Requirements

Basic understanding of data science & ai
Enthusiasm to learn
Access to necessary software/tools
Commitment to practice

Who This Course Is For

Professionals working in data science & ai
Students and career changers
Freelancers and consultants
Anyone looking to improve their skills
Course Information

About This Course

Pada kursus ini, teman-teman akan belajar mengenai pengolahan citra dengan menggunakan Bahasa Python. Materi pada kursus ini didesain sesederhana mungkin agar teman-teman dapat lebih mudah dalam memahami materi yang disampaikan. Selain materi yang mudah dipahami dan dipelajari, materi pada kursus ini akan dikembangkan dan ditambahkan secara terus menerus seiring berkembangnya bidang computer vision atau pengolahan citra.

Materi yang disajikan berawal dari materi paling sederhana yaitu pre-processing citra dan dilanjutkan dengan deep learning. Pada pre-processing citra, teman-teman akan belajar mengenai rotasi, shifting(pergeseran pixel), flipping, ruang warna dan masih banyak lagi. Pada materi ruang warna, teman-teman akan belajar juga mengenai perhitungan matematika secara manual sebelum implementasi dengan menggunakan python.

Pada materi deep learning, teman-teman akan belajar mengenai Neural Network atau NN dan Convolutional Neural Network (CNN). Materi yang akan dipelajari pada Neural Network berupa perhitungan matematika dari forward pass dan backward pass. Selain perhitungan manual, teman-teman juga akan belajar bagaimana cara mengimplementasikan Neural Network dengan menggunakan Bahasa Python dengan library Pytorch.

Pada materi Convolutional Neural Network, teman-teman akan mempelajari bagaimana sebuah mesin mempelajar sebuah data dan membuat sebuah sistem Artificial Intelligence (AI) secara sederhana. Materi Convolutional Neural Network yang disajikan antara lain, bagaimana penerapan dengan menggunakan Bahasa Python dengan library Pytorch dan bagaimana contoh-contoh penggunaan Convolutional Neural Network dalam kehidupan sehari-hari.

Provider
Udemy
Estimated Duration
10-20 hours
Language
English
Category
Technology & Programming

Topics Covered

Data Science & AI

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
Support
Q&A Forum
Course Details
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This course includes:

Lifetime access to course content
Access on mobile and desktop
Certificate of completion
Downloadable resources

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