BKBaku Kiminbakus-tech-blog.hashnode.dev00Part 6: Data Scaling – Normalization vs. StandardizationFeb 24 · 8 min read · In the previous part, we witnessed a "numerical explosion." Because our target formula involves x³, the raw values reached into the thousands, causing our loss to skyrocket into the millions. To buildJoin discussion
BKBaku Kiminbakus-tech-blog.hashnode.dev00Part 7: Backward PassFeb 24 · 11 min read · We have successfully built a "Forward Pass" that makes a prediction and a "Loss Function" that measures how wrong that prediction is. To turn this into a Learning system, we need to implement the BackJoin discussion
BKBaku Kiminbakus-tech-blog.hashnode.dev00Part5: Forward PassFeb 24 · 9 min read · In this part, we finally start building the deep learning process. The first part is Forward Pass. We will implement the forward pass process including loss function, activation function. What is the Join discussion
BKBaku Kiminbakus-tech-blog.hashnode.dev00Part4: Building a Simple Regression Model and Preparing Training TensorsFeb 24 · 11 min read · In the previous parts, we learned how to work with tensors, created a dataset, and implemented the basic building blocks such as layers and initializers. Now, it’s time to combine these ideas and starJoin discussion
