From dba5fdc40a0b95783d626e047c733b910762295b Mon Sep 17 00:00:00 2001 From: pritesh2000 Date: Mon, 2 Sep 2024 17:00:09 +0530 Subject: [PATCH] some typos --- 04_pytorch_custom_datasets.ipynb | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/04_pytorch_custom_datasets.ipynb b/04_pytorch_custom_datasets.ipynb index 006659b9..1996eb45 100644 --- a/04_pytorch_custom_datasets.ipynb +++ b/04_pytorch_custom_datasets.ipynb @@ -166,7 +166,7 @@ "source": [ "## 1. Get data\n", "\n", - "First thing's first we need some data.\n", + "First things first we need some data.\n", "\n", "And like any good cooking show, some data has already been prepared for us.\n", "\n", @@ -270,7 +270,7 @@ "\n", "In our case, we have images of pizza, steak and sushi in standard image classification format.\n", "\n", - "Image classification format contains separate classes of images in seperate directories titled with a particular class name.\n", + "Image classification format contains separate classes of images in separate directories titled with a particular class name.\n", "\n", "For example, all images of `pizza` are contained in the `pizza/` directory.\n", "\n", @@ -973,7 +973,7 @@ "\n", "We'll do so using [`torch.utils.data.DataLoader`](https://pytorch.org/docs/stable/data.html#torch.utils.data.DataLoader).\n", "\n", - "Turning our `Dataset`'s into `DataLoader`'s makes them iterable so a model can go through learn the relationships between samples and targets (features and labels).\n", + "Turning our `Dataset`'s into `DataLoader`'s makes them iterable so a model can go through and learn the relationships between samples and targets (features and labels).\n", "\n", "To keep things simple, we'll use a `batch_size=1` and `num_workers=1`.\n", "\n", @@ -1759,7 +1759,7 @@ "source": [ "They sure do!\n", "\n", - "Let's now take a lot at some other forms of data transforms." + "Let's now take a look at some other forms of data transforms." ] }, { @@ -1778,7 +1778,7 @@ "\n", "Or cropping it or randomly erasing a portion or randomly rotating them.\n", "\n", - "Doing this kinds of transforms is often referred to as **data augmentation**.\n", + "Doing these kinds of transforms is often referred to as **data augmentation**.\n", "\n", "**Data augmentation** is the process of altering your data in such a way that you *artificially* increase the diversity of your training set.\n", "\n",