Deep Learning (A)
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RPS Deep Learning
Pengantar Perkuliahan dan Pengenalan Deep Learning
Pengantar Perkuliahan dan Pengenalan Deep Learning
Video Intro to Deep Learning
Introduction to Deep Learning
Pengantar Perkuliahan DL
Deep Sequence Modeling
Deep Sequence Modeling
Video Deep Sequence Modeling
Deep Sequence Modeling
Variasi RNN dan Contoh Aplikasinya
RNN Variants & Applications
ESN
RNN dan variasinya
Deep Computer Vision
Deep Computer Vision
Deep Computer Vision Video
Deep Computer Vision
Tugas 1 Deep Sequence Model
CNN dan Variasi Arsitekturnya
Deteksi Obyek menggunakan arsitektur CNN
Metode Deep Learning untuk Deteksi Obyek
Intro_Object Detection
Practical Object Detection and Segmentation
4. CNN for Object Detection
Presentasi Tugas Implementasi
Presentasi Tugas 1
Segmentasi menggunakan Arsitektur CNN
Segmentasi Citra menggunakan Arsitektur CNN
Review Paper
Deep Learning for Image Segmentation
Presentasi Review Paper dan Rencana FP
Presentasi Review Paper dan Rencana FP
Deep Generative Models
Generative Adversarial Networks
Deep Generative Models
Deep Generative Models
Implementasi GAN dan contoh aplikasinya
Implementasi GAN dan Contoh Aplikasinya
Tugas 2 Implementasi Arsitektur CNN dan GAN
Implementasi GAN
Reinforcement Learning
Reinforcement Learning
Deep Reinforcement Learning
Deep Reinforcement Learning
Section 12
Presentasi Tugas dan Evidential Deep Learning
Evidential Deep Learning
Section 13
Evidential Deep Learning
Evidential Deep Learning
Algorithmic Bias and Fairness
Section 14
Presentasi Final Project
Final Project
Section 15
Presentasi Final Project Lanjutan
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Panduan Dosen
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[Video] Panduan Membuat Video Asinkronus dengan Power Point
Panduan Mahasiswa
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Deep Learning (A)
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Institut Teknologi Sepuluh Nopember
Sarjana
Fakultas Teknologi Elektro dan Informatika Cerdas
S-1 TEKNIK INFORMATIKA
Semester Genap 2020/2021
Deep Learning (A)
Summary
Deep Learning (A)
Teacher:
Chastine Fatichah