1. Artificial intelligence by example : acquire advanced AI, machine learning, and deep learning design skills /: acquire advanced AI, machine learning, and deep learning design skills. (2020) Authors: Rothman, Denis Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Artificial intelligence by example : develop machine intelligence from scratch using real artificial intelligence use cases /: develop machine intelligence from scratch using real artificial intelligence use cases. (2018) Authors: Rothman, Denis Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Hands-on explainable AI (XAI) with Python : interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps /: interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps. (2020) Authors: Rothman, Denis Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Python, beginner's guide to artificial intelligence : build applications to intelligently interact with the world around you using Python /: build applications to intelligently interact with the world around you using Python. (2018) Authors: Rothman, Denis Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Transformers for Natural Language Processing : Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more /: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more. (2021) Authors: Rothman, Denis Record Type: Book Extent: 1 online resource (384 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Transformers for natural language processing : build, train, and fine-tune deep neural network architectures for NLP with Python, PyTorch, TensorFlow, Bert, and GPT-3 /: build, train, and fine-tune deep neural network architectures for NLP with Python, PyTorch, TensorFlow, Bert, and GPT-3. (2022) Authors: Rothman, Denis Other Names: Gulli, Antonio writer of supplementary textual content. Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗