Artificial Neural Networks with TensorFlow 2: ANN Architecture Machine Learning Projects

© Poornachandra Sarang 2021

P. SarangArtificial Neural Networks with TensorFlow 2https://doi.org/10.1007/978-1-4842-6150-7_4

4. Transfer Learning

Poornachandra Sarang¹  

(1)

Mumbai, India

 

In the previous chapter, you developed a binary image classifier. With 60,000 images, it took a while to train the model. The accuracy we achieved was about 80 to 90%. If you want a higher accuracy, more images would be required for training. As a matter of fact, a deep learning network learns better with a higher number of data points. The ImageNet (https://devopedia.org/imagenet), the first of its kind in terms of scale, consists of 14,197,122 images organized into 21,841 subcategories which are further classified into 27 subtrees. To classify the images in ImageNet, ...