Simple Explanation About ReLU From vanishing gradient to dead neuron. Rectified linear unit (ReLU) turns out to be the default option for the hidden layer’s activation function since it shuts down the vanishing gradient problem by having a bigger gradient than sigmoid.
Activation Function Choosing an activation function for the hidden layer is not an easy task. The configuration of the hidden layer is an extremely active topic of research, and it just doesn't have any theory about how many neurons, how many layers, and what activation function to use given a dataset. Back then, sigmoid is the most popular activation function due to its non-linearity. As time goes by, a neural network advanced to a deeper network architecture that raised the vanishing gradient problem. Rectified linear unit (ReLU) turns out to be the default option for the hidden layer’s activation function since it shuts down the vanishing gradient problem by having a bigger gradient than sigmoid.
This "Deep Learning vs Machine Learning vs AI vs Data Science" video talks about the differences and relationship between Artificial Intelligence, Machine Learning, Deep Learning, and Data Science.
What is the difference between machine learning and artificial intelligence and deep learning? Supervised learning is best for classification and regressions Machine Learning models. You can read more about them in this article.
Artificial Intelligence (AI) vs Machine Learning vs Deep Learning vs Data Science: Artificial intelligence is a field where set of techniques are used to make computers as smart as humans. Machine learning is a sub domain of artificial intelligence where set of statistical and neural network based algorithms are used for training a computer in doing a smart task. Deep learning is all about neural networks. Deep learning is considered to be a sub field of machine learning. Pytorch and Tensorflow are two popular frameworks that can be used in doing deep learning.
The past few decades have witnessed a massive boom in the penetration as well as the power of computation, and amidst this information.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant