Data Augmentation in Deep Learning | Data Science | Machine Learning

Data Augmentation in Deep Learning | Data Science | Machine Learning

Data Augmentation is a technique in Deep Learning which helps in adding value to our base dataset by adding the gathered information from various sources to improve the quality of data of an organisation.

Data Augmentation is a technique in Deep Learning which helps in adding value to our base dataset by adding the gathered information from various sources to improve the quality of data of an organisation. Data Augmentation is one of the most important processes that makes the data very much informational. Improving the data is very important for every business because data is considered as the oil of business. Data Augmentation can be applied to any form of the dataset, which mainly includes text, images, and audio.

Data Augmentation helps in the study of the insights based on customers, product sales, and various other departments where the use of additional information can help a business to study the insights of the data very deeply. In this article, I will show you the most used field of Data Augmentation that is Image Augmentation.

Data Augmentation

Here I will show you some manual image augmentation and manipulation using TensorFlow. In Deep Learning, Data Augmentation is a very common technique to improve the results and overfitting. To move further in this article, you need to install a package using the pip installer command: pip install tensorflow_docs.

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