Practical Convolutional Neural Networks
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Practical Convolutional Neural Networks by Mohit Sewak
This book helps you master CNN, from the basics to the most advanced concepts in CNN such as GANs, instance classification and attention mechanism for vision models and more. You will implement advanced CNN models using complex image and video datasets. By the end of the book you will learn CNNs best practices to implement smart ConvNet ...
Mohit Sewak is a Sr. Cognitive Data Scientist with IBM, and a Ph.D. scholar in AI & CS with BITS Pilani. He holds several Patents and Publications in AI, Deep Learning, and Machine Learning. He has been the Lead Data Scientist for some of the very successful global AI/ ML software and Industry solutions and had been earlier engaged with solutioning and research for Watson Cognitive Commerce product line. He has 14 years of very rich experience in architecting and solutioning with technologies like TensorFlow, Torch, Caffe, Theano, Keras, Watson and others. Md. Rezaul Karim is a Research Scientist at Fraunhofer FIT, Germany. He is also a PhD candidate at RWTH Aachen University, Germany. Before joining FIT, he worked as a Researcher at the Insight Centre for Data Analytics, Ireland. Earlier, he worked as a Lead Engineer at Samsung Electronics, Korea. He has 9 years of R&D experience with C++, Java, R, Scala, and Python. He has published several research papers concerning bioinformatics, big data, and deep learning. He has practical working experience with Spark, Zeppelin, Hadoop, Keras, Scikit-Learn, TensorFlow, DeepLearning4j, MXNet, and H2O. Pradeep Pujari is machine learning engineer at Walmart Labs and distinguished member of ACM. His core domain expertise is in information retrieval, machine learning and natural language processing. In off hours, he loves exploring AI technologies, enjoys reading and mentoring.
| SKU | Unavailable |
| ISBN 13 | 9781788392303 |
| ISBN 10 | 1788392302 |
| Title | Practical Convolutional Neural Networks |
| Author | Mohit Sewak |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Packt Publishing Limited |
| Year published | 2023-04-02 |
| Number of pages | 218 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |