Do people expect that if you’re a writer you have a dictionary embedded in your brain? I mean, that would be nice, but i

To accomplish that, I use the murder weapon — oops, I mean, the thesaurus. It has lots of words in it. I treat browsing in it like a shopping expedition, picking up the different offerings and checking their weight and ripeness, and when I find just the right one, I grab it. Isn’t that what writing is about?

Remember that the two models are programmed to work against each other. During training, the computer will print out the loss for each of the models. Whichever value has the lowest loss is technically winning the competition. This allows you to see when the balance between both of the models is breaking down.

I don’t mean to act like a dummy; I know why people react this way. All of us at some point in high school found ourselves writing a paper and wanting to get a better grade, so we started mining the thesaurus for fancier, more expensive words to substitute for the ones we had used. Often, we had no idea of what these fancier words meant, how misbegotten they were in our otherwise plain-spun paper. Our teachers sure noticed and slashed their mean red pencils through those wrongheaded words. Fear of the thesaurus thus begins. The idea that using a thesaurus is cheating can’t be shaken—but it’s ridiculous.

There is no question a thesaurus can lead you astray — it has the potential to be like shopping in a store with one of those pushy salespeople who insists you look great in everything. You have to resist that, and instead think of the thesaurus as a toolbox, full of interesting goodies. But you need to make sure you get the right one.

latent_dim = 100 d_model = define_discriminator() g_model = define_generator(latent_dim) gan_model = define_gan(g_model, d_model) print(pixels.shape) train(g_model, d_model, gan_model, np.array(pixels), latent_dim) print(pixels)

“YOU DID WHAT???” “YOU ARE A PROFESSIONAL WRITER AND YOU USE A THESAURUS???!!” “OF ALL PEOPLE, YOU??” These were some of the reasonable, equitable, gently-put responses to my confession, drawing what seemed to be a direct equivalency between using a thesaurus and committing murder. I was, to put it mildly, surprised. I am someone who strings words together for a living, and sometimes I feel that the word I’ve conjured is inadequate to its task. I want to find another word that’s better/more interesting/differently nuanced/fresher.

I have a decent vocabulary — not amazing, not dazzling, but good enough. It’s sturdy, probably better than average. When writing, I get tired of the words I use all the time and like getting goosed by the options the thesaurus suggests. I like to think I choose wisely, and I am careful not to slot in a word just because it’s obscure, and I definitely don’t use a word that I don’t thoroughly understand in all of its shaded meanings.

I hope you have learnt something from this article. My results from this project were quite poor because I did not have the resources to train the GAN properly and the dataset is reasonably small. Try applying this model to other datasets or applications, you will get satisfying results!

Despite this, there are no built-in implementations of transformer models in the core TensorFlow or PyTorch frameworks. To use them, you either need to apply for the relevant Ph.D. program, and we’ll see you in three years — or you pip install transformers.

I hope you found this article both useful and interesting! Feel free to comment down below your experience as either as a Business Analyst or Data Analyst, or even another similar role and how they differ from what I have shared, and how they are similar as well. Thank you!

I hope you have learnt something from this article. My results from this project were quite poor because I did not have the resources to train the GAN properly and the dataset is reasonably small. Try applying this model to other datasets or applications, you will get satisfying results!

This script actually runs the program. For perspective on computation time, I use a windows surface pro.100 epochs takes about 2 hours for a batch_size as defined in the code above.

When using Huggingface’s transformers library, we have the option of implementing it via TensorFlow or PyTorch. We will be covering everything you need to know to get started with the TensorFlow flavor in this article.

Although this is simplifying the process a little — in reality, it really is incredibly easy to get up and running with some of the most cutting-edge models out there (think BERT and GPT-2).

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