-
**System information**
- Have I written custom code (as opposed to using a stock example script provided in TensorFlow): No
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu 18…
-
Hey,
I noticed the dataset has a line with multiple inputs but a single output... This might raise a question if the network was designed with always one output neuron, based off `double out = line…
-
## :clipboard: 논문의 정보를 알려주세요.
- AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
- Esteban Real, Chen Liang, David R. So, Quoc V. Le
- 2020-03-06
## :page_with_curl: Abstract(본문)
…
-
Hi,
In your paper or code, the density model parameters Ws is updated using Preconditioned SGD optimizer( this SGD algorithm is very interesting). If I want to use pytorch's optimization method, s…
-
- https://arxiv.org/abs/2006.11371
- XAI Survey
-
@gbaydin This is a question about something I thought might "just work". Don't spend time on it, I'm just curious if there's something obvious I'm doing wrong.
I took a tentative attempt at hyper-p…
dsyme updated
3 years ago
-
I'm not 100% sure, but if it's using Stochastic Gradient Descent, is that the same as backpropagation?
-
Most of keras is compatible with numpy / scipy.
It would be awesome ( and probably competitively fast at inference on cpu) if keras was available with a numpy/scipy backend.
This would help simp…
-
Hi Michal,
Thank you for putting up Nielsen's code in Python 3.5. I am trying to build a backpropagation algorithm for a custom physics guided loss function where a neural network works in tandem w…
-
@shrinidhi99 this is one of the most significant things I have learnt in Deep learning theory. It would be great if I can contribute the practical part of it to your repository.