In this article is explained how run a DL model in the Cloud with Google Cloud. Create your SSH key…
ARTIFICIAL INTELLIGENCE (17) – Deep learning (15) Implement a Class that Inherits from Dataset
In PyTorch, when working with data for deep learning models, it is common to create a custom dataset class that…
ARTIFICIAL INTELLIGENCE (16) – Deep learning (14) Understanding Backpropagation (2)
Another interesting type of non-linearity is the ReLU function, which sets any negative neuron output to zero. In a fully…
ARTIFICIAL INTELLIGENCE (15) – Deep learning (13) Understanding Backpropagation (1)
The issue with backpropagation is that it acts as a “leaky abstraction.” Calling backpropagation a leaky abstraction means that, although…
ARTIFICIAL INTELLIGENCE (14) – Deep learning (12) Running and Debugging a Deep Learning Project in Visual Studio Code
This article is a Step‑by‑Step Guide of how Running and Debugging a Deep learning Model/Project in Visual Studio Code. Install…
ARTIFICIAL INTELLIGENCE (13) – Deep learning (11) Understanding Decision Thresholds: Why “High” and “Low” Thresholds Matter
In many machine‑learning models—especially logistic regression—we make predictions that look like a score between 0 and 1. This score can…
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