Building and Training Recurrent Neural Networks! : PyTorch Deep Learning Tutorial
448 بار بازدید -
5 ماه پیش
-
TIMESTAMPS:0:00
TIMESTAMPS:
0:00 Introduction
0:19 Recap of previous video on sequential data and MLP predictions.
5:58 Introduction to recurrent neural network (RNN) architecture.
10:14 Explanation of implementing RNN in PyTorch.
13:02 Comparison of predictions with and without feedback.
16:47 Discussion on training strategies for RNNs.
20:07 Evaluation of predictions and improvement strategies.
23:35 Conclusion and preview of next video.
In this video we introduce the concept of a Recurrent Neural Network and see how they can allow for varying length inputs to be used with a neural network!
Discord Server:
Discord: discord
Donations
https://www.buymeacoffee.com/lukeditria
The corresponding code is available here! (Section12)
https://github.com/LukeDitria/pytorch...
0:00 Introduction
0:19 Recap of previous video on sequential data and MLP predictions.
5:58 Introduction to recurrent neural network (RNN) architecture.
10:14 Explanation of implementing RNN in PyTorch.
13:02 Comparison of predictions with and without feedback.
16:47 Discussion on training strategies for RNNs.
20:07 Evaluation of predictions and improvement strategies.
23:35 Conclusion and preview of next video.
In this video we introduce the concept of a Recurrent Neural Network and see how they can allow for varying length inputs to be used with a neural network!
Discord Server:
Discord: discord
Donations
https://www.buymeacoffee.com/lukeditria
The corresponding code is available here! (Section12)
https://github.com/LukeDitria/pytorch...
5 ماه پیش
در تاریخ 1403/01/23 منتشر شده
است.
448
بـار بازدید شده