packt_nlp_tensorflow_2 | 2nd edition of NLP with TensorFlow ( Edition

by thushv89 Jupyter Notebook Version: Current License: No License

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kandi X-RAY | packt_nlp_tensorflow_2 Summary

packt_nlp_tensorflow_2 is a Jupyter Notebook library. packt_nlp_tensorflow_2 has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This will contain the code for the 2nd edition of NLP with TensorFlow (Edition 2)

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packt_nlp_tensorflow_2 has a low active ecosystem.

It has 31 star(s) with 9 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of packt_nlp_tensorflow_2 is current.

Quality

packt_nlp_tensorflow_2 has no bugs reported.

Security

packt_nlp_tensorflow_2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

packt_nlp_tensorflow_2 does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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packt_nlp_tensorflow_2 releases are not available. You will need to build from source code and install.

Installation instructions are available. Examples and code snippets are not available.

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packt_nlp_tensorflow_2 Key Features

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Vulnerabilities

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Install packt_nlp_tensorflow_2

You can run these notebooks on cloud platforms like Google Colab or your local machine. Note that some chapters require a GPU to run in a reasonable amount of time, so we recommend one of the cloud platforms as they come pre-installed with CUDA.
tensorflow_introduction.ipynb
ch3_word2vec.ipynb
ch3_wordnet.ipynb
ch4_document_classification.ipynb
ch4_elmo_embeddings.ipynb
ch4_glove.ipynb
ch5_cnn_sentence_classification.ipynb
ch5_image_classification_fashion_mnist.ipynb
ch06_rnns_for_named_entity_recognition.ipynb
ch08_lstms_for_text_generation.ipynb
ch09_seq2seq.ipynb
ch10_transformers.ipynb
ch11_image_captions.ipynb
tensorboard_word_embeddings.ipynb

Support

Install the latest NVIDIA driver for your GPU from this pageInstall CUDA 10.2 (TensorFlow 2.3)Setup CuDNNMake sure your $PATH variable contains the path to the bin folder of cuda (e.g. On Windows - C:\CUDA\v10.2\bin) On UNIX - Set LD_LIBRARY_PATH to lib64 folder (e.g. /usr/local/cuda-10.2/lib64)

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