TensorFlow’s custom data format TFRecord is really useful. The files are supported natively by the blazing fast tf.data API, support distributed datasets, leverage parallel I/O. But they are somewhat overwhelming at first. This post serves as a practical introduction.
We will first go over the concept behind TFRecord files. With…
Have you ever asked yourself where you currently are on your Machine Learning journey? And what’s there that you can still learn about?
This checklist helps you answer such questions. It provides an outline of the field, divided into three broad levels: Entry level (where everybody starts), intermediate level (where…
When working with image data, practitioners often use augmentations. Augmentations are techniques that artificially and randomly alter the data to increase diversity. Applying such transformations to the training data makes the model more robust. For image data, frequently used candidates are rotating, resizing, or blurring. The effects of the transformations…
In short, the core idea behind generative networks is capturing the underlying distribution of the data. This distribution can not be observed directly, but has to be approximately inferred from the training data. Over the years, many techniques have emerged that aim to generate data similar to the input samples.
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A recent study proposed a Tiffany Mood Forecast Model (TMFM) that allows users to predict the mood of people named Tiffany. In this work, I study this model and point out its major weakness. From that, I show how simple multiplication with zero surprisingly makes ground for a generalized formulation…
With the newest iteration of its custom M1 chip, the M1 Pro and M1 Max versions, Apple has given the Machine Learning community a powerful tool. …
Apple presented the refreshed M1 MacBooks about three weeks ago. Because of the custom chips used, you should be prepared to learn (at least when using them for Machine Learning tasks). I covered this in an earlier article.
Since then, I have had the opportunity to play with the new…
Neural Networks. They seem to be everywhere. That is not a problem if you are a seasoned practitioner; you understand what they are all about. Usually, you come up with an explanation quickly.
However, if you are an outsider or new to this field, things are a bit different. You…
The specs are indeed intimidating: Up to 32 GPU cores and up to 16 CPU cores. Pair that with 64 GB of RAM, and you’re well equipped for any workload. And, not to forget the design. Well, it seems Apple did it again.
But, did they really? Let’s dig a…
Most of the time, we write and debug our code locally. After we’ve passed any tests, we then deploy the scripts to a remote environment. If we’re fortunate, we might have access to multiple GPUs. …
