Deep learning algorithms / edited by Zoran Gacovski.

Includes bibliographical references and index.

Section 1: Methods and approaches for deep learning -- Advancements in deep learning theory and applications: perspective in 2020 and beyond -- Deep ensemble reinforcement learning with multiple deep deterministic policy gradient algorithm -- Dynamic decision-making for stabilized deep learning software platforms -- Deep learning for hyperspectral data classification through exponential momentum deep convolution neural networks -- Ensemble network architecture for deep reinforcement learning -- Section 2: Deep learning techniques applied in biology -- Fish detection using deep learning -- Can deep learning identify tomato leaf disease? -- Deep learning for plant identification in natural environment -- Applying deep learning models to mouse behavior recognition -- Section 3: Deep learning applications in medicine -- Application of deep learning in neuroradiology: brain hemorrhage classification using transfer learning -- A review of the application of deep learning in brachytherapy -- Exploring deep learning and transfer learning for colonic polyp classification -- Deep learning algorithm for brain-computer interface -- Section 4: Deep learning in pattern recognition tasks -- The application of deep learning in airport visibility forecast -- Hierarchical representations feature deep learning for face recognition -- Review of research on text sentiment analysis based on deep learning -- Classifying hand written digits with deep learning -- Bitcoin price prediction based on deep learning methods.