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Part 7: Backward Pass

Feb 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 Back

Part 6: Data Scaling – Normalization vs. Standardization

Feb 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 build

Part5: Forward Pass

Feb 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

Part4: Building a Simple Regression Model and Preparing Training Tensors

Feb 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 star

Part 3: Building a Neural Network Layer

Dec 6, 2025 · 4 min read · In the previous parts, we learned how tensors work how to generate training data In this part, we will start building the components of a neural network. Before we start, let’s briefly explain what deep learing is. What is Deep Learning? Deep lea...