I'm going to ask this one more time and be as clear as possible. I am asking for CODE, and CODE only. Nothing else. Period. No explinations. Just working code. When you answer this, it is a copy and paste out of your IDE of code that works. I also want to see screen shots of said working code.

In no way, shape, or form, will an acceptable answer start in this way:

" To augment images when using TensorFlow or Keras as our DL framework we can:

Write our own augmentation pipelines or layers using tf.image.

Use Keras preprocessing layers

Use ImageDataGenerator Tf.image "

If you feel the need to write that, then do NOT answer this question.

QUESTION:

State-of-the-art machine learning models use millions, sometimes billions, of parameters. When training our models, the number of distinct examples we need is proportional to the number of parameters our model has.

Invariance is a trait of a neural network model (for instance, an image classification model) that can robustly classify objects even when the objects are placed in different orientations, have different sizes, and illumination differences. Many of these potential differences in our dataset can be created artificially, instead of collecting more images. Methods could be to alter brightness or contrast of the image, stretch or skew operations, or a variety of translation methods.

But what about textual data for NLP projects? Possibilities include synonym replacement, which replaces words with words that mean the same thing, random inserts, swaps, and deletions, among others.

Create Python code that will take any text dataset and augment it in some way to expand the dataset. Submission must include a script that will augment any text dataset within its folder. Please include a sample un-augmented dataset with your submission.

NOTE: I can not stress this enough.

This 1: Needs to be in Python.

2: ONLY CODE. Nothing else. No explanation. Just. Code.

Do not start, at all with this:

" To augment images when using TensorFlow or Keras as our DL framework we can:

Write our own augmentation pipelines or layers using tf.image.

Use Keras preprocessing layers

Use ImageDataGenerator Tf.image

Code. Is the above code? No.

Asking for the code. Help with the code. Code. Nothing else. In Python. On a Python IDE. NOT JUPYTER notebook. Pycharm, Spyder, etc. Code that makes this work. COpy and paste of code and screen shots of said code.

You will not get a positive thumbs up if you continue to not read the question being asked and how to properly respond to said question.Before you respond, ask yourself:

"Am I getting the code straight from a Python IDE and did I attach screenshots to support the ask"