Deep Learning in Visual Computing and Signal Processing (Hardcover, 1)

1. Deep Learning Architecture and Framework Ashish Tripathi, Shraddha Upadhaya, Arun Kumar Singh, Krishna Kant Singh, Arush Jain, Pushpa Choudhary, and Prem Chand Vashist 2. Deep Learning in Neural Networks: An Overview Vidit Shukla and Shilpa Choudhary 3. Deep Learning: Current Trends and Techniques Bharti Sharma, Arun Balodi, Utku Kose, and Akansha Singh 4. Tensorflow: Machine Learning Using Heterogeneous Edge on Distributed Systems Dr. R. Ganesh Babu, Dr. A. Nedumaran, Mr. G. Manikandan, and Mrs. R. Selvameena 5. Introduction to Biorobotics: Part of Biomedical Signal Processing Kashish Srivastava and Shilpa Choudhary 6. Deep Learning Based Object Recognition and Detection Model Aman Jatain, Khushboo Tripathi, and Shalini Bhaskar Bajaj 7. Deep Learning: A Pathway for Automated Brain Tumor Segmentation in MRI Images Roohi Sille, Piyush Chauhan, and Durgansh Sharma 8. Recurrent Neural Networks and Their Application in Seizure Classification Kusumika Krori Dutta, Poornima Sridharan, and Sunny Arokia Swamy Bellary 9. Brain Tumor Classification Using Convolutional Neural Network M. Jayashree, S. Poornima, V. Megala, and R. K. Pongiannan 10. A Proactive Improvement toward Digital Forensic Investigation Based on Deep Learning Vidushi, Akash Rajak, Ajay Kumar Shrivastava, and Arun Kumar Tripathi