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 Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more
Take your NLP knowledge to the next level and become an AI language understanding expert by mastering the quantum leap of Transformer neural network models
Key Features
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Build and implement state-of-the-art language models, such as the original Transformer, BERT, T5, and GPT-2, using...
|  |  PyTorch Recipes: A Problem-Solution Approach
Get up to speed with the deep learning concepts of Pytorch using a problem-solution approach. Starting with an introduction to PyTorch, you'll get familiarized with tensors, a type of data structure used to calculate arithmetic operations and also learn how they operate. You will then take a look ... |  |  Machine Learning and Robot Perception (Studies in Computational Intelligence)This book presents some of the most recent research results in the area of machine learning and robot perception. The book contains eight chapters.
Relevant progress has been done, within the Robotics field, in mechanical systems, actuators, control and planning. This fact, allows a wide application of industrial robots, where... |
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