Introduction to Deep Learning - 6.Training Neural Networks (Summer 2020)

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Introduction to Deep Learning (I2DL) - Lecture 6
TUM Summer Semester 2020
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0:00:17 Recap
0:06:39 Learning Rate
0:10:56 Learning Rate Decay
0:14:05 Training Schedule
0:16:57 Basic Recipe for Training
0:19:44 Gradient Descent on Train Set
0:21:29 Learning
0:29:03 Basic Recipe for Machine Learning
0:35:51 Over- and Underfitting
0:38:17 Learning Curves
0:46:22 Overfitting Curves
0:50:11 Summarize
0:53:00 Hyperparameters
0:55:58 How to Start
1:01:37 Grid Search
1:04:26 Timings
1:09:23 Network Architecture & Debugging & Common Mistakes
1:13:14 Tensorboard

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Remember kids, NEVER touch the test data during development or training XD

bennycrash