After loading both the network and the dataset in the workplace, we can adjust the desired set of options and train the network. We choose stochastic gradient descent with a batch size of 4 and train ...

Lets apply some of the terminology and concepts of teaching a reinforcement learning agent to trade. The agent in this case study is the computer. It will observe financial market indicators (states).

Finally, you’ll leverage MATLAB tools for deep learning and managing convolutional neural networks. By the end of the book, you’ll be able to put it all together by applying major machine learning ...

Key Features Work with the MATLAB Machine Learning Toolbox to implement a variety of machine learning algorithms Evaluate, deploy, and operationalize your custom models, incorporating bias detection ...