Tag: Deep

Designing Deep Learning Systems (MEAP V08)


Free Download Designing Deep Learning Systems (MEAP V08) by
English | 2023 | ISBN: 9781633439863 | 475 pages | MOBI | 7.16 Mb
Deep learning systems are the components and infrastructure essential to supporting a deep learning model in a production environment. Written especially for software engineers with minimal knowledge of deep learning’s design requirements, Designing Deep Learning Systems is full of hands-on examples that will help you transfer your software development skills to creating these deep learning platforms. You’ll learn how to build automated and scalable services for core tasks like dataset management, model training/serving, and hyperparameter tuning. This book is the perfect way to step into an exciting-and lucrative-career as a deep learning engineer.

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Coursera – Deep Learning Specialization by DeepLearning.AI


Free Download Coursera – Deep Learning Specialization by DeepLearning.AI
Last updated 1/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 373 Lessons ( 50h 51m ) | Size: 5.67 GB
Become a Machine Learning expert. Master the fundamentals of deep learning and break into AI. Recently updated with cutting-edge techniques!

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Deep Learning with JAX (MEAP V07)


Free Download Deep Learning with JAX (MEAP V07)
English | 2023 | ISBN: 9781633438880 | 519 pages | MOBI | 5.71 Mb
The JAX numerical computing library tackles the core performance challenges at the heart of deep learning and other scientific computing tasks. By combining Google’s Accelerated Linear Algebra platform (XLA) with a hyper-optimized version of NumPy and a variety of other high-performance features, JAX delivers a huge performance boost in low-level computations and transformations.

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Advanced Applications of NLP and Deep Learning in Social Media Data


Free Download Advanced Applications of NLP and Deep Learning in Social Media Data by Ahmed A Abd El-Latif, Mudasir Ahmad Wani, Mohammed A El-Affendi
English | June 5, 2023 | ISBN: 166846909X | 332 pages | MOBI | 5.20 Mb
Social media platforms are one of the main generators of textual data where people around the world share their daily life experiences and information with online society. The social, personal, and professional lives of people on these social networking sites generate not only a huge amount of data but also open doors for researchers and academicians with numerous research opportunities. This ample amount of data needs advanced machine learning, deep learning, and intelligent tools and techniques to receive, process, and interpret the information to resolve real-life challenges and improve the online social lives of people. Advanced Applications of NLP and Deep Learning in Social Media Data bridges the gap between natural language processing (NLP), advanced machine learning, deep learning, and online social media. It hopes to build a better and safer social media space by making human language available on different social media platforms intelligible for machines with the blessings of AI. Covering topics such as machine learning-based prediction, emotion recognition, and high-dimensional text clustering, this premier reference source is an essential resource for OSN service providers, psychiatrists, psychologists, clinicians, sociologists, students and educators of higher education, librarians, researchers, and academicians.

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