How Machines Learn: The Power of Gradient Descent
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Understanding the Principles, Challenges, and Applications of Gradient Descent Image by Author with @MidJourney Introduction to Gradient Descent Gradient descent is a fundamental optimization algorithm used in machine learning and data science to …
Building Neural Networks with Python Code and Math in Detail — II
Author(s): Pratik Shukla, Roberto Iriondo Source: Pixabay The second part of our tutorial on neural networks from scratch. From the math behind them to step-by-step implementation case studies in Python. Launch the samples on Google Colab. In the first part of our tutorial …
Neural Networks from Scratch with Python Code and Math in Detail- I
Author(s): Pratik Shukla, Roberto Iriondo Source: Unsplash Learn all about neural networks from scratch. From the math behind it to step-by-step implementation case studies in Python. Launch them live on Google Colab Note: In our upcoming second tutorial on neural networks, we will …