31. Hands-On Markov Models with Python : Implement probabilistic models for learning complex data sequences using the Python ecosystem /: Implement probabilistic models for learning complex data sequences using the Python ecosystem. (2018) Authors: Ankan, Ankur; Panda, Abinash Record Type: Book Extent: 1 online resource (178 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
32. Hands-on neural network programming with C# : add powerful neural network capabilities to your C# enterprise applications /: add powerful neural network capabilities to your C# enterprise applications. (2018) Authors: Cole, Matt R, 1961- Record Type: Book Extent: 1 online resource (320 p.) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
33. Hands-On Neural Networks : Learn how to build and train your first neural network model using Python /: Learn how to build and train your first neural network model using Python. (2019) Authors: De Marchi, Leonardo; Mitchell, Laura Record Type: Book Extent: 1 online resource (280 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
34. Hands-On Neural Networks with Keras : Design and create neural networks using deep learning and artificial intelligence principles /: Design and create neural networks using deep learning and artificial intelligence principles. (2019) Authors: Purkait, Niloy Record Type: Book Extent: 1 online resource (462 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
35. Hands-On Q-Learning with Python : Practical Q-learning with OpenAI Gym, Keras, and TensorFlow /: Practical Q-learning with OpenAI Gym, Keras, and TensorFlow. (2019) Authors: Habib, Nazia Record Type: Book Extent: 1 online resource (212 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
36. Hands-On Reinforcement Learning for Games : Implementing self-learning agents in games using artificial intelligence techniques /: Implementing self-learning agents in games using artificial intelligence techniques. (2020) Authors: Lanham, Micheal Record Type: Book Extent: 1 online resource (432 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
37. Hands-On Reinforcement Learning with Python : Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow /: Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow. (2018) Authors: Ravichandiran, Sudharsan Record Type: Book Extent: 1 online resource (318 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
38. Hands-On Serverless Deep Learning with TensorFlow and AWS Lambda : Training serverless deep learning models using the AWS infrastructure /: Training serverless deep learning models using the AWS infrastructure. (2019) Authors: Feyzkhanov, Rustem Record Type: Book Extent: 1 online resource (126 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
39. Interpretable Machine Learning with Python : Learn to build interpretable high-performance models with hands-on real-world examples /: Learn to build interpretable high-performance models with hands-on real-world examples. (2021) Authors: Masís, Serg Record Type: Book Extent: 1 online resource (736 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
40. Java Deep Learning Cookbook : Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j /: Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j. (2019) Authors: Raj, Rahul Record Type: Book Extent: 1 online resource (304 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗