HDSP LAB.
High Dimensional Signal Processing Lab.
<reference time: UTC > <date: 2023:5:12> <start time: 00:00:00> <end time: 00:57:56> <content address: https://www.youtube.com/watch?v=vT1JzLTH4G4> <title: Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition>
<reference time: UTC > <date: 2023:5:12> <start time: 00:57:57> <end time: 01:57:28> <content address: https://www.youtube.com/watch?v=OoUX-nOEjG0> <title: Lecture 2 | Image Classification>
<reference time: UTC > <date: 2023:5:12> <start time: 01:57:29> <end time: 03:12:09> <content address: https://www.youtube.com/watch?v=h7iBpEHGVNc> <title: Lecture 3 | Loss Functions and Optimization>
<reference time: UTC > <date: 2023:5:12> <start time: 03:12:10> <end time: 04:26:09> <content address: https://www.youtube.com/watch?v=d14TUNcbn1k> <title: Lecture 4 | Introduction to Neural Networks>
<reference time: UTC > <date: 2023:5:12> <start time: 04:26:10> <end time: 05:35:06> <content address: https://www.youtube.com/watch?v=bNb2fEVKeEo> <title: Lecture 5 | Convolutional Neural Networks>
<reference time: UTC > <date: 2023:5:12> <start time: 05:35:07> <end time: 06:30:22> <content address: https://www.youtube.com/watch?v=NmLK_WQBxB4> <title: MIT 6.S191: Convolutional Neural Networks>
<reference time: UTC > <date: 2023:5:12> <start time: 06:30:23> <end time: 07:27:56> <content address: https://www.youtube.com/watch?v=AhyznRSDjw8> <title: MIT 6.S191: Reinforcement Learning>
<reference time: UTC > <date: 2023:5:12> <start time: 07:27:57> <end time: 08:22:43> <content address: https://www.youtube.com/watch?v=QcLlc9lj2hk> <title: MIT 6.S191 (2022): Deep Generative Modeling>
<reference time: UTC > <date: 2023:5:12> <start time: 08:22:44> <end time: 09:23:15> <content address: https://www.youtube.com/watch?v=qjrad0V0uJE> <title: MIT 6.S191 (2021): Recurrent Neural Networks>
<reference time: UTC > <date: 2023:5:12> <start time: 09:23:16> <end time: 09:40:34> <content address: https://www.youtube.com/watch?v=QYwESy6isuc> <title: MIT 6.S191 (2018): Issues in Image Classification>
<reference time: UTC > <date: 2023:5:12> <start time: 09:40:35> <end time: 09:59:54> <content address: https://www.youtube.com/watch?v=FkHWKq86tSw> <title: MIT 6.S191 (2018): Faster ML Development with TensorFlow>
<reference time: UTC > <date: 2023:5:12> <start time: 09:59:55> <end time: 10:57:51> <content address: https://www.youtube.com/watch?v=vT1JzLTH4G4> <title: Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition>
<reference time: UTC > <date: 2023:5:12> <start time: 10:57:52> <end time: 11:57:23> <content address: https://www.youtube.com/watch?v=OoUX-nOEjG0> <title: Lecture 2 | Image Classification>
<reference time: UTC > <date: 2023:5:12> <start time: 11:57:24> <end time: 13:12:04> <content address: https://www.youtube.com/watch?v=h7iBpEHGVNc> <title: Lecture 3 | Loss Functions and Optimization>
<reference time: UTC > <date: 2023:5:12> <start time: 13:12:05> <end time: 14:26:04> <content address: https://www.youtube.com/watch?v=d14TUNcbn1k> <title: Lecture 4 | Introduction to Neural Networks>
<reference time: UTC > <date: 2023:5:12> <start time: 14:26:05> <end time: 15:35:01> <content address: https://www.youtube.com/watch?v=bNb2fEVKeEo> <title: Lecture 5 | Convolutional Neural Networks>
<reference time: UTC > <date: 2023:5:12> <start time: 15:35:02> <end time: 16:30:17> <content address: https://www.youtube.com/watch?v=NmLK_WQBxB4> <title: MIT 6.S191: Convolutional Neural Networks>
<reference time: UTC > <date: 2023:5:12> <start time: 16:30:18> <end time: 17:27:51> <content address: https://www.youtube.com/watch?v=AhyznRSDjw8> <title: MIT 6.S191: Reinforcement Learning>
<reference time: UTC > <date: 2023:5:12> <start time: 17:27:52> <end time: 18:22:38> <content address: https://www.youtube.com/watch?v=QcLlc9lj2hk> <title: MIT 6.S191 (2022): Deep Generative Modeling>
<reference time: UTC > <date: 2023:5:12> <start time: 18:22:39> <end time: 19:23:10> <content address: https://www.youtube.com/watch?v=qjrad0V0uJE> <title: MIT 6.S191 (2021): Recurrent Neural Networks>
<reference time: UTC > <date: 2023:5:12> <start time: 19:23:11> <end time: 19:40:29> <content address: https://www.youtube.com/watch?v=QYwESy6isuc> <title: MIT 6.S191 (2018): Issues in Image Classification>
<reference time: UTC > <date: 2023:5:12> <start time: 19:40:30> <end time: 19:59:49> <content address: https://www.youtube.com/watch?v=FkHWKq86tSw> <title: MIT 6.S191 (2018): Faster ML Development with TensorFlow>
<reference time: UTC > <date: 2023:5:12> <start time: 19:59:50> <end time: 20:57:46> <content address: https://www.youtube.com/watch?v=vT1JzLTH4G4> <title: Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition>
<reference time: UTC > <date: 2023:5:12> <start time: 20:57:47> <end time: 21:57:18> <content address: https://www.youtube.com/watch?v=OoUX-nOEjG0> <title: Lecture 2 | Image Classification>
<reference time: UTC > <date: 2023:5:12> <start time: 21:57:19> <end time: 23:11:59> <content address: https://www.youtube.com/watch?v=h7iBpEHGVNc> <title: Lecture 3 | Loss Functions and Optimization>