Mastering the Adam Optimizer: From Concept to NumPy & PyTorch Implementation
Adam (Adaptive Moment Estimation) is one of the most widely used optimizers in deep learning training. In this post, we’ll break down the mathematical concep...
Category
ML
Implementing Gradient Descent From Scratch: NumPy vs PyTorch
Problem 1: Linear Regression with Gradient Descent
Difference in Differences
Difference in Differences in Python
Generalized Linear Models
Generalized Linear Models in Python
Log Likelihood Estimation
Log Likelihood Estimation in Python
Python
Python Tips
1. Python string type
Pandas: Groupby Method
Pandas data wrangling (1) - Groupby
NN
Basic Neural Network from Scratch: NumPy vs PyTorch
Building a Basic Neural Network: NumPy vs PyTorch
Simple Linear Regression Model in PyTorch and Tensorflow
```python from numpy.random import uniform, normal import numpy as np np.set_printoptions(precision=4)