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1
Sesi 1 - Python Fundamental Review (00:00)
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Link Absensi Peserta dan Pengajar
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Welcome!
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Python Fundamental Review (Sesi 1)
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Git Tutorial
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2
Sesi 2 - Introduction to Tensorflow (00:00)
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Link Absensi Peserta dan Pengajar
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Introduction to TensorFlow (Sesi 2)
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3
Sesi 3 - Introduction to Deep Learning & Neural Network (00:00)
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Link Absensi Peserta dan Pengajar
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Deep Learning and Neural Network
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4
Sesi 4 - Neural Network Deep Down and Practice (00:00)
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Link Absensi Peserta dan Pengajar
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Neural Network with TensorFlow
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Assignment 1 - Student Alcohol Problem
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5
Sesi 5 - Convolutional Networks I - CNN Architecture (00:00)
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Link Absensi Peserta dan Pengajar
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Convolutional Neural Network 1
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6
Sesi 6 - Convolutional Networks II - Classifications and Computer Vision (00:00)
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Link Absensi Peserta dan Pengajar
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Convolutional Neural Network 2
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Assignment 2
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7
Sesi 7 - Understanding Neural Style Transfer (00:00)
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Link Absensi Peserta dan Pengajar
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Neural Style Transfer
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Survey Satisfaction
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8
Sesi 8 - Recurrent Neural Networks I - RNN Models (00:00)
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Link Absensi Peserta dan Pengajar
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Recurrent Neural Network
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Assignment 3
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9
Sesi 9 - Recurrent Neural Networks II - LSTM Models (00:00)
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Link Absensi Peserta dan Pengajar
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Long Short Term Memory
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10
Sesi 10 - Understanding Transfer Learning (00:00)
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Link Absensi Peserta dan Pengajar
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Understanding Transfer Learning
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11
Sesi 11 - Deployment (00:00)
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Link Absensi Peserta dan Pengajar
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Model Deployment with Streamlit and Hugging Face
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12
Sesi 12 (00:00)
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Link Absensi Peserta dan Pengajar
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PYIM - Final Project - Sesi 12
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13
Feedback (00:00)
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Course Feedback
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