Natural Language Processing in TensorFlow

Natural Language Processing in TensorFlow

The information highlights the importance of understanding tools for building scalable AI-powered algorithms as a software developer. It introduces a specialization focused on TensorFlow, an open-source machine learning framework, to learn best practices in this area.

Course 3 of the TensorFlow Specialization specifically focuses on building natural language processing systems using TensorFlow. Participants will learn techniques such as text processing, tokenization, and representing sentences as vectors to prepare them for input into neural networks. An interesting practical application of training an LSTM model on existing text to generate original poetry is also included.

The Machine Learning course and Deep Learning Specialization, taught by Andrew Ng, are recommended as foundational knowledge in machine learning (ML) and deep learning (DL) principles. This new TensorFlow Specialization complements those courses by implementing these principles using TensorFlow, enabling learners to build and apply scalable models to real-world problems. Taking the Deep Learning Specialization is suggested to better understand neural networks.

๐Ÿ†“ Free to Audit
๐Ÿ•’ Approx. 24 Hours
๐Ÿ“ˆ Intermediate Level
๐Ÿงพ Paid Certificate Available Upon Completion
๐ŸŽ“ Offered by DeepLearning.AI via Coursera

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