Gender classifier with Tensorflow and OpenCV

Training a Neural Network from scratch suffers two main problems. First, a very large, classified input dataset is needed so that the Neural Network can learn the different features it needs for the classificatoin. Training a Model from scratch needs tousands of classified, high quality training data. Often, such data has to be classified by hand first, so that the Artificial Intelligence can learn from the handmand classification. Second, designing a Neural Network that fits the needs is hard and complicated since the Networks acts as a blackbox. Highly specialized knowledge is…