An introduction to deep learning and the associated Python libraries like Numpy, Matplotlib, Keras and Tensorflow. We will learn how to build and use deep learning models to classify images such ...

Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming ... layers and create classification outputs.

making them well-suited for tasks such as image and speech recognition, natural language processing, and predictive analytics. Some of the most popular Python libraries for deep learning include ...

Above: Image classification vs. object detection vs. semantic segmentation (credit: codebasics). The complexity of convolutional neural networks (CNN), the deep learning architecture commonly ...

Deep learning opens a new level of capabilities within the artificial intelligence realm, but its use has been limited to data scientists. Nowadays, finally, it may be ripe for "democratization ...