fix typos

08_pytorch_paper_replicating.ipynb

@@ -120,7 +120,7 @@
     "| [Papers with Code](https://paperswithcode.com/) | A curated collection of trending, active and greatest machine learning papers, many of which include code resources attached. Also includes a collection of common machine learning datasets, benchmarks and current state-of-the-art models. |\n",
     "| [lucidrains' `vit-pytorch` GitHub repository](https://github.com/lucidrains/vit-pytorch) | Less of a place to find research papers and more of an example of what paper replicating with code on a larger-scale and with a specific focus looks like. The `vit-pytorch` repository is a collection of Vision Transformer model architectures from various research papers replicated with PyTorch code (much of the inspiration for this notebook was gathered from this repository). |\n",
     "\n",
-    "> **Note:** This list is far from exhaustive. I only list a few places, the ones I use most frequently personally. So beware the bias. However, I've noticed that even this short list often sully satisfies my needs for knowing what's going on in the field. Anymore and I might go crazy."
+    "> **Note:** This list is far from exhaustive. I only list a few places, the ones I use most frequently personally. So beware the bias. However, I've noticed that even this short list often sully satisfies my needs for knowing what's going on in the field. Any more and I might go crazy."
    ]
   },
   {
@@ -612,7 +612,7 @@
    "source": [
     "## 3. Replicating the ViT paper: an overview\n",
     "\n",
-    "Before we write anymore code, let's discuss what we're doing.\n",
+    "Before we write any more code, let's discuss what we're doing.\n",
     "\n",
     "We'd like to replicate the ViT paper for our own problem, FoodVision Mini.\n",
     "\n",