Scraping Images with Python
Process of building machine learning, deep learning or AI applications has several steps. One of them is analysis of the data and finding which parts of it are usable and which are not. We also need to pick machine learning algorithms or neural network architectures...
Introduction to Chatbots and Their Business Value
In today’s world, the majority of businesses have some sort of an e-shop or are e-commerce oriented (meaning: good portion of business can be done online). However, what if your Customer has an issue, and she/he needs to contact the Support, and it is outside of your...
Transfer Learning with TensorFlow 2 – Model Fine Tuning
In the previous article, we had a chance to explore transfer learning with TensorFlow 2. We used several huge pre-trained models: VGG16, GoogLeNet and ResNet. These architectures are all trained on ImageNet dataset and their weights are stored. We specialized them for...
Transfer Learning with TensorFlow 2
It is always fun and educational to read deep learning scientific papers. Especially if it is in the area of the current project that you are working on. However, often these papers contain architectures and solutions that are hard to train. Especially if you want to...
