-
Tengo una duda con las B particiones a usar, en base a lo que entendi, estas particiones de datos se deben de recalcular en cada epoca del entrenamiento, en este sentido ¿los datos que esten en estas …
-
A very helpful optimization technique that is quite time efficient and even reduces space complexity. It proves to come in quite handy when the gradient descent seems to have a relatively fast learni…
-
I would like to suggest adding Optimization functions, machine learning and deep learning algorithms in this repository. This can be added in a separate folder called `machine_learning` folder. Furthe…
-
Currently, we support batch gradient descent (e.g., LogisticRegression), and stochastic gradient descent (e.g., ``SGDClassifier/SGDRegressor``), but we do not support Mini-Batch gradient descent (``SG…
-
-
In the pdf it looks like the "Mini batch Stochastic Gradient Descent" explanation is repeated from SGD.
sri9s updated
5 years ago
-
We should definitely add Stein variational gradient descent ([paper](https://proceedings.neurips.cc/paper/2016/file/b3ba8f1bee1238a2f37603d90b58898d-Paper.pdf), [code](https://github.com/blackjax-devs…
-
The pricing policy has parameters $\theta$s, and our goal is to optimized the simulation in order to produce max profits.
To do so, we need to calculate gradient of objective function(profit) w.r…
-
Hi,
In Geron's Github for chapter 5 he includes a Linear SVC implementation with batch gradient descent. If possible, could someone confirm my intuition on the following code:
t = y * 2 - 1 # …
-
The pyglment package gives different estimated coefficients for linear regression depending on which solver you select (e.g. cdfast or batch-gradient). Neither solver agrees with sklearn (I believe th…
idc9 updated
5 months ago