Skip to content

Deep Learning Workshop

                                                      

Program Description

Deep learning is a machine learning technique that progressively extract higher-level features from large and complex data. This technique provided a versatile model that achieve breakthrough inventions in a diverse area like machine translation, robotics, speech recognition, and other applications in the digital era. Deep Learning Workshop by Telkom University provides the right way to understand the fundamental concept of deep learning and how to build the model step by step. This program is equipped with more practice and designed for those without any programming and computer science background

Program Syllabus

  • Conceptual Data Science
  • Neural network concept
  • Why Deep Learning?
  • Deep learning concept
  • Deep Learning framework: Tensorflow (Keras)
  • Hands on Artificial Neural Network
  • Hands on Convolutional Neural Network (Image)
  • Hands on Recurrent Neural Network (text)

Investment 

IDR 999.000

  • Get 50% Discount before 17 July 2020
  • Bring ten persons to get a 60% discount before 17 July. Get 50% Discount after 17 July 2020
  • Discount 50% for Student & Fresh Graduate (max one year).

Registration Procedure

  • Fill in the Registration Form
  • Wait for confirmation about the availability of the slot via email that has been registered. Fill in the Registration Form Here
  • Pay the programs fee via BNI 8321066202000004 a.n. Telkom University – Deep Learning
  • Confirm the payment by sending proof of transfer to dbe@telkomuniversity.ac.id.

Information

For further information about this program, please contact:

  • Phone: +6281222400410
  • E-mail: dbe@telkomuniversity.ac.id
  • Address: Digital Business Ecosystem Research Center, School of Economic and Business, Telkom University. Jl. Telekomunikasi no. 1, Buah Batu, Bandung 40257.

5 thoughts on “Deep Learning Workshop”

  1. Halo, saya jonathan. Ingin bertanya pelatihan deep learning ini menggunakan Phyton/ R atau bahasa lainnya?

Leave a Reply

Your email address will not be published. Required fields are marked *