DKDivyajot Kaurinai-beginners-journey.hashnode.dev路4d ago 路 4 min readPart 24: Epochs, Batches, and Iterations: How a Model Learns from DataWhen we train a machine learning or deep learning model, we don't simply give it all the data once and expect it to learn everything immediately. Instead, the model processes the training data in smal00
DKDivyajot Kaurinai-beginners-journey.hashnode.dev路Sep 26 路 5 min readPart 23: Types of Gradient Descent: Batch, Mini-Batch & StochasticIn the previous blog, we learned about Gradient Descent鈥攁n optimization algorithm that helps a machine learning model reduce its error by gradually adjusting its weights. But there is an important que00
DKDivyajot Kaurinai-beginners-journey.hashnode.dev路Sep 21 路 5 min readPart 22: Gradient Descent: How Neural Networks Find Better WeightsImagine you are standing on top of a mountain, but it's completely dark. 馃寵 Your goal is to reach the lowest point in the valley. You can't see the entire path, so what would you do? You might take a 00
DKDivyajot Kaurinai-beginners-journey.hashnode.dev路Sep 5 路 5 min readPart 21: Backpropagation: How Neural Networks Learn From Their MistakesImagine you are learning to shoot basketball hoops. 馃弨 You take a shot, but the ball misses the basket. Instead of simply trying again randomly, you think: 鈥淚 aimed too far to the left. Next time, I s03A
DKDivyajot Kaurinai-beginners-journey.hashnode.dev路Aug 27 路 5 min readPart 20: What are Activation Functions ?Imagine you're standing in a crowded railway station. There are hundreds of sounds around you, but when someone calls your name, you immediately pay attention. Your brain doesn't treat every signal eq00
