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 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 ... |  |  |  |  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...
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 |  |  |  |  Mind Design II: Philosophy, Psychology, and Artificial Intelligence"Ming Design II is a welcome update of its predecessor, itself a useful compendium on the philosophy of cognitive science. This new volume retains the intellectual foundations, and some discussions of classical AI built on them, while adding connectionism, situated AI, and dynamic systems theory as extra storeys. Which of these is... |
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