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- 03:48, 19 September 2019 diff hist +137 N Thingspeak Created page with " ==Referensi== * http://saptaji.com/2016/11/21/iot-dengan-arduino-dan-thingspeak/ ==Pranala Menarik== * Thingspeak: Buat account"
- 03:47, 19 September 2019 diff hist +17 Arduino →Visualisasi Data IoT
- 17:21, 16 September 2019 diff hist +327 OpenWRT: Build Firmware dengan 3G Modem Support current
- 06:11, 16 September 2019 diff hist +92 OpenWRT: Build Firmware dengan 3G Modem Support
- 05:43, 14 September 2019 diff hist +483 ITCAMP 2019 →Pembicara current
- 08:01, 13 September 2019 diff hist +307 N OpenWRT: Download Firmware Created page with "==Download Page== https://downloads.openwrt.org/releases/18.06.4/targets/ ===Buffalo G450H=== https://downloads.openwrt.org/releases/18.06.4/targets/ar71xx/generic/ ht..."
- 08:00, 13 September 2019 diff hist +2 Openwrt →Download
- 08:00, 13 September 2019 diff hist +50 Openwrt →Pranala Menarik
- 05:15, 13 September 2019 diff hist -6 OpenWRT: Build Firmware Buffalo WZRHPG450H →Siapkan Pendukung
- 13:46, 12 September 2019 diff hist +17 Keras: Embrace Randomness →Taktik untuk Melaporkan Ketidakpastian current
- 13:37, 12 September 2019 diff hist +6 Keras: Embrace Randomness →Tactics to Report the Uncertainty
- 13:35, 12 September 2019 diff hist +1 Keras: Embrace Randomness →Taktik untuk Mengurani Ketidakpastian
- 13:34, 12 September 2019 diff hist +121 Keras: Embrace Randomness →Taktik Untuk Mengatasi Ketidakpastian Algoritma Stochastic
- 13:26, 12 September 2019 diff hist -9 Keras: Embrace Randomness →Tactics To Address The Uncertainty of Stochastic Algorithms
- 13:24, 12 September 2019 diff hist -90 Keras: Embrace Randomness →Machine Learning Algorithms are Stochastic
- 13:16, 12 September 2019 diff hist +1 Keras: Embrace Randomness →Tactics to Report the Uncertainty
- 13:16, 12 September 2019 diff hist +2 Keras: Embrace Randomness →Tactics to Reduce the Uncertainty
- 13:15, 12 September 2019 diff hist +41 Keras: Embrace Randomness →Random Seed dan Hasil yang Reproducible
- 13:13, 12 September 2019 diff hist +128 Keras: Embrace Randomness →Random Seeds and Reproducible Results
- 13:06, 12 September 2019 diff hist -29 Keras: Embrace Randomness →Mengapa hasil yang diperoleh berbada pada menggunakan data yang sama?
- 11:11, 12 September 2019 diff hist +23 Keras: Embrace Randomness →No Doubt
- 11:10, 12 September 2019 diff hist +74 Keras: Embrace Randomness →Algoritma Machine Learning Menggunakan Angka Random
- 11:06, 12 September 2019 diff hist +77 Keras: Embrace Randomness →Algoritma Machine Learning Menggunakan Angka Random
- 10:49, 12 September 2019 diff hist +43 Keras: Embrace Randomness →Algoritma Machine Learning Menggunakan Angka Random
- 10:47, 12 September 2019 diff hist -9 Keras: Embrace Randomness →Algoritma Machine Learning Menggunakan Angka Random
- 10:41, 12 September 2019 diff hist +24 Keras: Embrace Randomness →Algoritma Machine Learning Menggunakan Angka Random
- 10:37, 12 September 2019 diff hist -48 Keras: Embrace Randomness →Mengapa hasil yang diperoleh berbada pada menggunakan data yang sama?
- 10:31, 12 September 2019 diff hist +32 Keras: Embrace Randomness
- 10:22, 12 September 2019 diff hist -175 Keras: Embrace Randomness
- 10:21, 12 September 2019 diff hist +10 Keras: Introduction to Learning Curves for Diagnosing Model Performance →Summary current
- 10:18, 12 September 2019 diff hist +18 Keras: Introduction to Learning Curves for Diagnosing Model Performance →Summary
- 10:16, 12 September 2019 diff hist +29 Keras: Introduction to Learning Curves for Diagnosing Model Performance →Unrepresentative Validation Dataset
- 10:07, 12 September 2019 diff hist +21 Keras: Introduction to Learning Curves for Diagnosing Model Performance →Unrepresentative Validation Dataset
- 10:05, 12 September 2019 diff hist +45 Keras: Introduction to Learning Curves for Diagnosing Model Performance →Unrepresentative Train Dataset
- 09:59, 12 September 2019 diff hist +2 Keras: Introduction to Learning Curves for Diagnosing Model Performance →Unrepresentative Validation Dataset
- 09:58, 12 September 2019 diff hist +2 Keras: Introduction to Learning Curves for Diagnosing Model Performance →Unrepresentative Train Dataset
- 09:58, 12 September 2019 diff hist -21 Keras: Introduction to Learning Curves for Diagnosing Model Performance →Diagnosing Unrepresentative Datasets
- 09:52, 12 September 2019 diff hist -5 Keras: Introduction to Learning Curves for Diagnosing Model Performance →Good Fit Learning Curves
- 17:56, 10 September 2019 diff hist -3 Keras: Introduction to Learning Curves for Diagnosing Model Performance →Overfit Learning Curves
- 17:23, 10 September 2019 diff hist -5 Keras: Introduction to Learning Curves for Diagnosing Model Performance →Overfit Learning Curves
- 17:20, 10 September 2019 diff hist +3 Keras: Introduction to Learning Curves for Diagnosing Model Performance →Underfit Learning Curves
- 17:17, 10 September 2019 diff hist -13 Keras: Introduction to Learning Curves for Diagnosing Model Performance →Underfit Learning Curves
- 17:07, 10 September 2019 diff hist +30 Keras: Introduction to Learning Curves for Diagnosing Model Performance →Underfit Learning Curves
- 17:04, 10 September 2019 diff hist +1 Keras: Introduction to Learning Curves for Diagnosing Model Performance →Good Fit Learning Curves
- 17:04, 10 September 2019 diff hist +8 Keras: Introduction to Learning Curves for Diagnosing Model Performance →Overfit Learning Curves
- 17:04, 10 September 2019 diff hist +2 Keras: Introduction to Learning Curves for Diagnosing Model Performance →Underfit Learning Curves
- 17:04, 10 September 2019 diff hist +64 Keras: Introduction to Learning Curves for Diagnosing Model Performance →Diagnosing Model Behavior
- 17:01, 10 September 2019 diff hist +3 Keras: Introduction to Learning Curves for Diagnosing Model Performance →Kurva Pembejaran (Learning Curve) di Machine Learning
- 16:57, 10 September 2019 diff hist +3 Keras: Introduction to Learning Curves for Diagnosing Model Performance →Kurva Pembejaran (Learning Curve) di Machine Learning
- 16:40, 10 September 2019 diff hist +82 Keras: Introduction to Learning Curves for Diagnosing Model Performance →Kurva Pembejaran (Learning Curve) di Machine Learning