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Deep Learning Photo Aesthetics

Tags: Computer Vision Deep Learning TensorFlow Aesthetics

All of my successes, and failures, on the path to developing a deep learning model capable of understanding photo aesthetics.

  1. Introduction and Data Analysis
  2. - 26 October 2020
    My analysis of the AVA database as the first step in creating a deep learning model capable understanding photo aesthetics.

  3. Data Preprocessing
  4. - 19 November 2020
    How I shaped the AVA database to reduce training times, remove bias, and improve model inference.

  5. Data Pipeline Optimization
  6. - 17 December 2020
    Optimizing image-based TFRecords to reduce storage space and improve training times.