Machine Learning & Deep Learning Fundamentals

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Vanishing & Exploding Gradient explained | A problem resulting from backpropagation

March 23, 2018 by


Let's discuss a problem that creeps up time-and-time during the training process of an artificial neural network. This is the problem of unstable gradients, and is most popularly referred to as the vanishing gradient problem. We’re first going to answer the question, what is the vanishing gradient problem, anyway? Here, we’ll cover the idea conceptually. We’ll then move our discussion to talking about how this problem occurs. Then, with the understanding that we’ll have developed up to this point, we’ll discuss the problem of exploding gradients, which we’ll see is actually very similar to the vanishing gradient problem, and so we’ll be able to take what we learned about that problem and apply it to this new one. 💥🦎 DEEPLIZARD COMMUNITY RESOURCES 🦎💥 👉 Check out the blog post and other resources for this video: 🔗 💻 DOWNLOAD ACCESS TO CODE FILES 🤖 Available for members of the deeplizard hivemind: 🔗 🧠 Support collective intelligence, join the deeplizard hivemind: 🔗 🤜 Support collective intelligence, create a quiz question for this video: 🔗 🚀 Boost collective intelligence by sharing this video on social media! ❤️🦎 Special thanks to the following polymaths of the deeplizard hivemind: Peder B. Helland 👀 Follow deeplizard: Twitter: Facebook: Patreon: YouTube: Instagram: 🎓 Other deeplizard courses: Reinforcement Learning - NN Programming - DL Fundamentals - Keras - TensorFlow.js - Data Science - Trading - 🛒 Check out products deeplizard recommends on Amazon: 🔗 📕 Get a FREE 30-day Audible trial and 2 FREE audio books using deeplizard’s link: 🔗 🎵 deeplizard uses music by Kevin MacLeod 🔗 🔗 ❤️ Please use the knowledge gained from deeplizard content for good, not evil.