Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library PyTorch is a Python-based tensor computing library with high ...

Machine learning programming is an in-demand skill. Learn how to program an ML application with Python in this tutorial.

Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science ...

Master important frameworks for deep learning in Python Data Science with "Tensorflow and Keras Masterclass For Machine Learning and AI in Python".

Python is a popular programming language for deep learning due to its simplicity, flexibility, and the availability of a vast array of open-source libraries.

Over the past year I’ve reviewed half a dozen open source machine learning and/or deep learning frameworks: Caffe, Microsoft Cognitive Toolkit (aka CNTK 2), MXNet, Scikit-learn, Spark MLlib, and ...

Are you new to coding in Python? Check out these Python tutorials for beginners and learn why Python is one of the most widely-used programming languages.

Both machine learning and deep learning start with training and test data and a model and go through an optimization process to find the weights that make the model best fit the data.

Learn how DenseNet works and why it’s a powerful architecture in deep learning. This tutorial breaks down DenseNet’s key concepts, including dense connections, feature reuse, and parameter ...