Anubhav Singh - Hands-On Python Deep Learning for the Web: Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow

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Anubhav Singh, a web developer since before Bootstrap was launched, is an explorer of technologies, often pulling off crazy combinations of uncommon tech. An international rank holder in the Cyber Olympiad, he started off by developing his own social network and search engine as his first projects at the age of 15, which stood among the top 500 websites of India during their operational years. He's continuously developing software for the community in domains with roads less walked on. You can often catch him guiding students on how to approach ML or the web, or both together. He's also the founder of The Code Foundation, an AI-focused start-up. Anubhav is a Venkat Panchapakesan Memorial Scholarship awardee and an Intel Software Innovator.

Sayak Paul is currently with PyImageSearch, where he applies deep learning to solve real-world problems in computer vision and bring solutions to edge devices. He is responsible for providing Q&A support to PyImageSearch readers. His areas of interest include computer vision, generative modeling, and more. Previously at DataCamp, Sayak developed projects and practice pools. Prior to DataCamp, Sayak worked at TCS Research and Innovation (TRDDC) on data privacy. There, he was a part of TCS's critically acclaimed GDPR solution called Crystal Ball. Outside of work, Sayak loves to write technical articles and speak at developer meetups and conferences.

Karan Bhanot is a computer science graduate from Punjab Engineering College, India. He is a machine learning and data science enthusiast. He has worked on numerous projects involving Python, Jupiter Notebook, NumPy, pandas, Matplotlib, Flask, Flask-RESTPlus, neural networks (Keras and TensorFlow), R, Shiny, Leaflet, and ggplot. As a frontend developer, he has also worked on HTML, CSS, and JavaScript. He is currently pursuing a PhD in computer science with a research focus on data science and machine learning. He is active on GitHub and blogs his ideas and learnings on online blogging websites such as Medium.

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Deep learning techniques can be used to develop intelligent web apps. Over the last few years, tremendous growth in the number of companies adopting deep learning techniques in their products and businesses has been observed. There has been a significant surge in the number of start-ups providing AI and deep learning-based solutions for niche problems. This book introduces numerous tools and technological practices used to implement deep learning in web development using Python.