Learn the fundamentals of building an Artificial Intelligence (AI) powered Neural Network using Python in this comprehensive tutorial. Discover the step-by-step process of designing, training, and fine-tuning a neural network to make accurate predictions on various data sets. Master the essential concepts of deep learning and unleash the power of AI to solve real-world problems with ease.

• Machine Learning
• Feature Engineering
• Deep Learning

• The Process to Train a Neural Network
• Vectors and Weights
• The Linear Regression Model

• Wrapping the Inputs of the Neural Network With NumPy
• Making Your First Prediction

• Computing the Prediction Error
• Understanding How to Reduce the Error
• Applying the Chain Rule
• Adjusting the Parameters With Backpropagation
• Creating the Neural Network Class
• Training the Network With More Data
• Adding More Layers to the Neural Network

[1] https://realpython.com/python-ai-neural-network/