Freaks City

Saving Model Parameters During training, it is esssential to persist learned parameters to disk for later validation, inference, or continued training. TensorFlow provides the tf.train.Saver class for this purpose. To begin, instantiate a Saver object: saver = tf.train.Saver() The max_to_keep parameter controls how many checkpoint files are re ...

Synthetic Training Data Generation import torch import torch.nn.functional as F import matplotlib.pyplot as plt import numpy as np # Create synthetic dataset train_x = torch.linspace(-1, 1, 100).view(-1, 1) train_y = train_x ** 2 + 0.2 * torch.rand(train_x.size()) # Visualize input-output distribution plt.scatter(train_x.numpy(), train_y.nump ...