August 2019
Intermediate to advanced
202 pages
5h 9m
English
Content preview from What's New in TensorFlow 2.0
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Raw data
Raw data, which is used to train an ML model, can be text files, CSV files, images, videos, or custom formatted files. Raw data can even be a combination of these file types. Raw data can also be sequenced data, such as time series data—alternatively, it can even be vector representations for text, such as word embeddings. It's important to ensure that the raw input data is managed before it's fed into the model since it can affect the efficiency of the model's training at runtime.
In many cases, raw data can be stored in a database, such as MySQL, MS SQL, MongoDB, and so on. For the sake of this book, it's assumed that even tabular, SQL, or NoSQL data is raw data and that it needs to be split and converted into TFRecords for machine/deep ...
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