This book is intended to gear the readers with a superfast crash course on deep learning. Readers are expected to have basic programming skills in any modern-day language; Python experience would be great, but is not necessary. Given the limitations on the size and depth of the subject we can cover, this short guide is intended to equip you as a beginner with sound understanding of the topic, including tangible practical experience in model development that will help develop a foundation in the deep learning domain. This guide is not recommended if you are already above the beginner level and are keen to explore advanced topics in deep learning like computer vision, speech recognition, and so on. The topics of CNN, RNN, and modern unsupervised learning algorithms are beyond the scope of this guide. We provide only a brief introduction to these to keep the readers aware contextually about more advanced topics and also provide recommended sources to explore these topics in more detail.
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Dr. Abdul Hannan Abdul Mannan Shaikh
Dr. Abdul Hannan Abdul Mannan Shaikh is working as Assistant professor in Department of Computer Science and Information Technology, AlBaha University, AlBaha, Saudi Arabia. He has completed his M.Phil (YCMOU) and Ph.D. From North Maharashtra University, Jalgaon, Maharashtra in 2012. He is member of Machine Intelligence and Research lab, IAENG, IETE, CSTA. He has been awarded with granted certificate of Two International patents from Australian government and published four patents in Government of India He has published more than 90 research papers in various International journals and conferences. He has been awarded First prize in International conference for his research work . He has also been awarded by certificate of excellence from International journal of computer science and Information technology, USA. He has more than 22 Years of teaching experience. He is also a member of editorial boards and reviewer of many International Journals and Conferences. His areas of interest in research are Artificial Intelligence, Data Mining, Image Processing, IoT, Blockchain etc.
