Building a Neural Network & Making Predictions With Python AI | RealPython

If you’re just starting out in the artificial intelligence (AI) world, then Python is a great language to learn since most of the tools are built using it. Deep learning is a technique used to make predictions using data, and it heavily relies on neural networks. This course will show you how to build a neural network from scratch.

In a production setting, you would use a deep learning framework like TensorFlow or PyTorch instead of building your own neural network. That said, having some knowledge of how neural networks work is helpful because you can use it to better architect your deep learning models.

In this course, you’ll learn:

What artificial intelligence is
How both machine learning and deep learning play a role in AI
How a neural network functions internally
How to build a neural network from scratch using Python

nitro.download/view/CA4061164964A16/BuildingaNeuralNetworkMakingPredictionsWithPythonAI.fc.rar

rapidgator.net/file/2c146a43498aa4631b9064697e1cd06c/BuildingaNeuralNetworkMakingPredictionsWithPythonAI.fc.rar.html

If any links die or problem unrar, send request to
forms.gle/e557HbjJ5vatekDV9