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 ...

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 ...

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.

In this video, we implement the Adam optimization algorithm from scratch using pure Python. You'll learn how Adam combines ...

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.

The Scikit-learn Python framework has a wide selection of robust machine learning algorithms, but no deep learning. If you’re a Python fan, Scikit-learn may well be your best option among the ...

Scikits are Python-based scientific toolboxes built around SciPy, the Python library for scientific computing. Scikit-learn is an open source project focused on machine learning: classification ...

Microsoft's two new video series target beginner developers interested in using Python for machine-learning programs.

Suffice it to say Python programmers using VS Code have new AI-driven code helpers to play with, and Microsoft is soliciting their feedback. "With a great team effort, we completed the staged roll-out ...