In this video, learn about Gradient Descent and how we can use it to update the weights and bias of our AI model.
Time Stamps
- 00:00 – what is gradient descent?
- 00:37 – gradient descent vs perception
- 01:04 – sigmoid activation function
- 01:45 – bias and threshold
- 02:06 – weighted sum – working example
- 02:37 – sigmoid – working example
- 03:03 – loss function – working example
- 03:32 – how to update weights
- 04:17 – what is learn rate?
- 05:06 – how to update bias
- 05:37 – gradient descent – working example
- 07:13 – what is epoch?
- 07:38 – average loss per epoch
- 08:37 – gradient descent code example
- 12:13 – thank you for watching! stay in touch!
