Title

Mengenal Deep Learning

Mengenal Deep Learning

4.55 (55 reviews)
Udemy
platform
Bahasa Indonesia
language
Programming Languages
category
Mengenal Deep Learning
353
students
2.5 hours
content
Jun 2020
last update
$19.99
regular price

What you will learn

Deep Learning adalah salah satu sub-ilmu dari Machine Learning. Deep Learning sendiri pada dasarnya adalah pembuatan algoritma yang menyerupai fungsi otak, atau biasa disebut Artificial Neural Network. Pada Course kali ini, kalian akan mempelajari dasar-dasar Neural Network, melakukan Vectorization dengan Python, serta membuat Neural Network sederhana. Setelah mempelajari Course ini, kalian diharapkan mampu untuk mendeskripsikan apa itu Neural Network, memahami Binary Classification dengan Logistic Regression, memahami Gradient Descent dan Derivatives, serta mengimplementasikan Vectorisasi dengan Python.

Why take this course?

🎓 Halo, Selamat Datang di Course "Mengenal Deep Learning" by KODE by Hacktiv8!✨

Course Headline:

🧠 Mengenal Deep Learning: Memulai Perjalanan Anda ke Dalam Pemrosesan Buatan

Course Description:

What You'll Learn:

  • Fundamentals of Neural Networks: Dive into the basics and understand how these complex systems function and are applied in real-world scenarios.
  • Vectorization with Python: Master the art of vectorization, a crucial skill for handling large datasets efficiently with Python.
  • Building Simple Neural Networks: Get hands-on experience by creating your own basic neural network from scratch.

Key Topics Covered:

  • Understanding Neural Networks: Learn what neural networks are and how they're inspired by the human brain's structure and function.
  • Binary Classification with Logistic Regression: Explore the concept of classification in machine learning and learn how logistic regression fits into this picture.
  • Gradient Descent and Derivatives: Unravel the mysteries behind optimization techniques, particularly gradient descent, and understand its significance in training neural networks.
  • Vectorization Techniques with Python: Discover how to use vectorization to process data more efficiently in Python, making your machine learning models faster and better.

By the end of this course, you will be able to:

  • Describe Neural Networks: Articulate what neural networks are and how they differ from traditional machine learning algorithms.
  • Understand Binary Classification: Grasp the principles behind binary classification tasks and how logistic regression is used to solve them.
  • Master Gradient Descent: Gain a deep understanding of gradient descent and its role in optimization problems, including its mathematical underpinnings.
  • Implement Vectorization in Python: Apply vectorization effectively to optimize your Python code when working with machine learning algorithms.

Why Take This Course?

  • Industry-Relevant Skills: Equip yourself with practical knowledge that is highly sought after by employers in the tech industry.
  • Hands-On Learning: Engage with real-world examples and exercises that solidify your understanding of deep learning concepts.
  • Expert Instructors: Learn from KODE by Hacktiv8's experienced instructors who bring real-world experience and a passion for teaching.
  • Community and Support: Join a community of like-minded learners and receive support as you progress through your learning journey.

📆 Start Your Learning Adventure Today! Enroll in "Mengenal Deep Learning" now and take the first step towards mastering one of the most powerful tools in modern artificial intelligence. Let's turn your curiosity into expertise together! 🚀


Don't miss out on this opportunity to unlock your potential in AI and machine learning. Dive into the world of Deep Learning with KODE by Hacktiv8 – where learning meets innovation! 🌟

Screenshots

Mengenal Deep Learning - Screenshot_01Mengenal Deep Learning - Screenshot_02Mengenal Deep Learning - Screenshot_03Mengenal Deep Learning - Screenshot_04

Reviews

Oscar
August 22, 2023
"Saya ingin mengucapkan terima kasih yang sebesar-besarnya atas materi kursus Deep Learning yang telah diberikan. Materinya sangat berharga dan membantu saya memahami konsep-konsep kompleks dalam dunia Deep Learning. Semangat saya untuk belajar lebih lanjut semakin terpicu berkat penjelasan yang jelas dan mendalam.
Shofyan
April 16, 2022
hmm ini sudut pandangnya terlalu spesifik ke logistik regresion, padahal ada banyak activation function yang bisa diperkenalkan. tapi lumayan bagus lah tetep buat tutorial ya

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2930584
udemy ID
30/03/2020
course created date
31/07/2020
course indexed date
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