The book covers almost all the state of the art deep learning algorithms. First, you will get a good understanding of the fundamentals of neural networks and several variants of gradient descent ...

Recurrent neural networks (RNN) are often used for natural language and other sequence processing, as are ... Another kind of deep learning algorithm—not a deep neural network—is the ...

Neural networks and deep learning, which work through layers of information, leverage different types of neural networks. ... RNN has to offer, it comes with significant hurdles in the process of ...

Reinforcement learning algorithms are one of the popular machine learning methods in recent years. Unlike deep learning (DL) algorithms, it does not require a data set during the training phase, ...

Coronary heart disease analysis using two deep learning algorithms, CNN and RNN, and their sensitivity analyses Abstract:: Heart disease is the number one cause of death, killing approximately 17.9 ...

Implement basic-to-advanced deep learning algorithms; Master the mathematics behind deep learning algorithms; Become familiar with gradient descent and its variants, such as AMSGrad, AdaDelta, Adam, ...