Day 9: Learning How Neural Networks Make Predictions

Today I continued my Machine Learning journey by studying Neural Network Models in the Machine Learning Specialization.

I learned that neural networks are made up of layers of neurons that work together to process information and generate predictions.

Topics I covered today:

✅ Neural Network Layers

✅ More Complex Neural Networks

✅ Forward Propagation (Inference)

One concept I found particularly interesting was forward propagation. This is the process where information moves through the network from the input layer to the output layer to generate a prediction.

I also completed the lab and achieved 100% on the practice quiz.

Every lesson helps me understand a little more about how modern AI systems work behind the scenes.

Next stop: learning how neural networks are trained.

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