Part 7: Backward Pass
Up to this point, We have built a 'Forward Pass' that makes predictions, and a 'Loss Function' that measures exactly how far off those predictions are. In order to enable our model to learn patterns f
Feb 24, 202611 min read1
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#deep-learning
Articles tagged with #deep-learning
Part 6: Data Scaling – Normalization vs. Standardization
In our 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
Feb 24, 20268 min read3Part5: Forward Pass
With our dataset prepared and our model's architecture ready, we are at starting point of deep learning. The first part is the forward pass. In this part, we will implement the entire forward pass fro
Feb 24, 202610 min readPart4: Building a Simple Regression Model and Preparing Training Tensors
So far, we have implemented our dataset, layers, and an initializer. Now, it’s time to combine them and start shaping an actual neural network. Before we get to the code, let’s first walk through the
Feb 24, 202611 min readPart 3: Building a Neural Network Layer
Now that our dataset is ready, we are ready to start building the components of our neural network. But before wejump into the code, let’s pause for a moment to define what deep learning actually is.
Dec 6, 20255 min readPart 2: Generating Training Data
Now that we've seen tensors, it's time to start building the deep learning process. The first thing we need is a dataset for training. Instead of using pre-made dataset, we are going to build our own
Nov 6, 20254 min read1