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Subject: Computer Science Course: Natural Language Processing. Machine Learning and Deep Learning - Fundamentals and Applications Take the Deep Learning Specialization: all our courses: to ... Let's discuss a problem that creeps up time-and-time during the training process of an artificial neural network. This is the problem ... This video is part of the Udacity course "Deep Learning". Watch the full course at Training very deep networks can make your derivatives get very small or very large quickly. This problem is referred to as ...
This video describes some of the down-sides of trying to train deep neural networks. 00:00 Introduction 04:27 error correction: at 14:47: dependency between values at (t) th timestep and( t+n) th timesteps is lost.
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Vanishing/ Exploding Gradient: Lecture-38
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Lec 38: Vanishing and Exploding Gradients in Deep Neural Networks
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Exploding gradients problem - lecture 38/ machine learning
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Vanishing and exploding gradients | Deep Learning Tutorial 35 (Tensorflow, Keras & Python)
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Last Updated: June 15, 2026
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Lec 38: Vanishing and Exploding Gradients in Deep Neural Networks
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