d to perform image classification. The model has been pretrained on the ImageNet image database and then pruned to <strong>60.4%</strong> of sparsity and quantized to INT8 fixed-point precision using so-called Quantization-aware training approach implemented in TensorFlow framework. The sparsity is represented by zeros inside the weights of Convolutional and Fully-conneted layers. For details about the original floating point model, check out the <a href="https://arxiv.org/pdf/1512.03385.pdf">paper</a>.</p>