github.com
  
  
    udacity/deep-learning-v2-pytorch/blob/master/intro-to-pytorch/Part 6 - Saving and Loading Models.ipynb 9
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Saving and Loading Models\n",
    "\n",
    "In this notebook, I'll show you how to save and load models with PyTorch. This is important because you'll often want to load previously trained models to use in making predictions or to continue training on new data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "\n",


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Question


So when we save the model and if we decided to tweak the hidden layers, we can just adjust the hidden layers while using the weights from model.state_dict() ? ( the bunch of codes towards the end )


Do we usually use this utility script to create a new NN config?
https://github.com/udacity/deep-learning-v2-pytorch/blob/master/intro-to-pytorch/helper.py 1


Thanks