1. R deep learning projects : master the techniques to design and develop neural network models in R /: master the techniques to design and develop neural network models in R. (2018) Authors: Liu, Yuxi (Hayden); Maldonado, Pablo Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Data science algorithms in a week : top 7 algorithms for scientific computing, data analysis, and machine learning /: top 7 algorithms for scientific computing, data analysis, and machine learning. ([2018]) Authors: (Data scientist), Natingga, Dávid Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Advanced deep learning with Keras : apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more /: apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more. (2018) Authors: Atienza, Rowel Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Keras deep learning cookbook : over 30 recipes for implementing deep neural networks in Python /: over 30 recipes for implementing deep neural networks in Python. (2018) Authors: Dua, Rajdeep; Ghotra, Manpreet Singh Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Machine learning fundamentals : Use Python and scikit-learn to get up and running with the hottest developments in machine learning /: Use Python and scikit-learn to get up and running with the hottest developments in machine learning. ([2018]) Authors: Saleh, Hyatt Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Recurrent neural networks with Python Quick Start Guide : sequential learning and language modeling with TensorFlow /: sequential learning and language modeling with TensorFlow. (2018) Authors: Kostadinov, Simeon Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. TensorFlow machine learning projects : build 13 real-world projects with advanced numerical computations using the Python ecosystem /: build 13 real-world projects with advanced numerical computations using the Python ecosystem. (2018) Authors: Jain, Ankit; Fandango, Armando; Kapoor, Amita Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Hands-on image processing with Python : expert techniques for advanced image analysis and effective interpretation of image data /: expert techniques for advanced image analysis and effective interpretation of image data. (2018) Authors: Dey, Sandipan Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Numerical computing with Python : harness the power of Python to analyze and find hidden patterns in the data /: harness the power of Python to analyze and find hidden patterns in the data. (2018) Authors: Dangeti, Pratap Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. Hands-on machine learning for cybersecurity : safeguard your system by making your machines intelligent using the Python ecosystem /: safeguard your system by making your machines intelligent using the Python ecosystem. (2018) Authors: Halder, Soma; Ozdemir, Sinan Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗