There are two downsides to this approach, however: Instead of a sparse vector, you now have a dense one (where all elements are full). You could then encode the sentence "The cat sat on the mat" as a dense vector like. Continuing the example above, you could assign 1 to "cat", 2 to "mat", and so on. Encode each word with a unique numberĪ second approach you might try is to encode each word using a unique number. To one-hot encode each word, you would create a vector where 99.99% of the elements are zero. Imagine you have 10,000 words in the vocabulary. A one-hot encoded vector is sparse (meaning, most indices are zero). To create a vector that contains the encoding of the sentence, you could then concatenate the one-hot vectors for each word. This approach is shown in the following diagram. To represent each word, you will create a zero vector with length equal to the vocabulary, then place a one in the index that corresponds to the word. The vocabulary (or unique words) in this sentence is (cat, mat, on, sat, the). Consider the sentence "The cat sat on the mat". One-hot encodingsĪs a first idea, you might "one-hot" encode each word in your vocabulary. In this section, you will look at three strategies for doing so. When working with text, the first thing you must do is come up with a strategy to convert strings to numbers (or to "vectorize" the text) before feeding it to the model. Machine learning models take vectors (arrays of numbers) as input. You will train your own word embeddings using a simple Keras model for a sentiment classification task, and then visualize them in the Embedding Projector (shown in the image below). This tutorial contains an introduction to word embeddings.
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The best part of Bedtime, though, is that it offers an entirely different set of alarms from the main alarms tab of the clock app. This is to the enjoyment of no one, but you have to fill silences somehow. And if the notification happens while I’m out in public, it gives me something to say, which is: “Oops, it’s my bedtime!” At which point I show that, on my phone, it says it’s my bedtime. The push-alert reminder about bedtime feels sweet - like my phone is looking out for me, telling me to go to bed. As I keep my phone on my bedside table, I am not sure how it would have any of this information, but also I don’t need it, because I know how I sleep, which is: not great. The Bedtime section also offers various data about the quality of your sleep, apparently by tracking your movement in bed. At bedtime, your phone chimes with a few notes from Brahms’s Lullaby and tells you that, if you’d like to get however many hours of sleep there are between your set bedtime and wake-up times, it is now time for bed. There’s a tab in your clock app called “Bedtime.” Have you looked at it? Inside, you can set a bedtime and a wake-up time for yourself. (There’s a particularly bad one called “By the Sea,” which is a harsh seaside-themed tone-song, in case you’d like to feel frightened awake but also like you’re on vacation.) I don’t know why anyone would want to wake up to any of these, but luckily you don’t have to, and I will tell you how not to. Or they’re like “Marimba,” which is even worse. You know how all of the iPhone alarm options are like this: HONK, HONK, HONK, HONK, REEEEAAAR, REEAAAR, WHOOOOOP, BEEP, BEEP, BEEP, BEEP, BEEP, BEEP, BEEP, or whatever? They’re so awful, just a bunch of jarring boops and beeps. This is so boring but please keep reading.
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