Building Transformer Models with PyTorch 2.0
Titles
Utilize Python’s capabilities in artificial intelligence, machine learning, deep learning and robotic process automation (English Edition)
Publication Date:
Book
Pages: 324
A risk-managed approach to developing and deploying explainable and efficient algorithms using ModelOps (English Edition)
Publication Date:
Book
Pages: 438
Mastering ML and NLP with Python in a step-by-step approach (English Edition)
Publication Date:
Book
Pages: 416
Your ultimate guide to building high-impact ML/AI solutions (English Edition)
Publication Date:
Book
Pages: 392
Build and Program Real Autonomous Robots Using Raspberry Pi (English Edition)
Publication Date:
Book
Pages: 505
Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions
Publication Date:
Book
Pages: 314
Empower the performance of Machine Learning and AI models with the capabilities of a powerful search algorithm (English Edition)
Publication Date:
Book
Pages: 270
Master Data Science skills with easy-to-follow Python examples
Publication Date:
Book
Pages: 322