The Power of Graph Neural Networks: Understan...

Some of the most asked questions on the channel. Here answered. Buy me a coffee https://ko-fi.com/datascience Discord Channel: https://discord.gg/4UNKGf3 ✨ Connect with us! Personal newsletter: https://defragzone.substack.com 📩 Newsletter: https://datascienceathome.substack.com ...  Show more

Can NPCs in videogames leverage new LLM-based tech? What are the benefits? What are the costs? Buy me a coffee https://ko-fi.com/datascience Discord Channel: https://discord.gg/4UNKGf3 ✨ Connect with us! Personal newsletter: https://defragzone.substack.com 📩 Newsletter: https:// ...  Show more

Today we’re joined by Sophia Sanborn, a postdoctoral scholar at the University of California, Santa Barbara. In our conversation with Sophia, we explore the concept of universality between neural representations and deep neural networks, and how these principles of efficiency pro ...  Show more

<span style= "color: #224422; font-family: 'Lucida Bright', Georgia, serif; font-size: medium;"> My guest this week is Anh Nguyen, a PhD student at the University of Wyoming working in the </span>

💻 Full tutorial: • Physics-Informed Neural Networks (PIN... Physics-Informed Neural Networks (PINNs) integrate known physical laws into neural network learning, particularly for solving differential equations. They embed these laws into the network's loss function, guiding the l ...  Show more

<span class="s1">RNNs are a class of deep learning models designed to capture sequential behavior.<span class= "Apple-converted-space"> </span> An RNN trains a set of weights which depend not just on new input but also on the previous state of the neural network.<sp ...