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INTRODUCTION TO DEEP LEARNING: Deep learning is a subfield of machine learning that focuses on building and training artificial neural networks to perform tasks that traditionally required human intelligence. It is inspired by the structure and function of the human brain's neural networks. Deep learning has gained significant attention and success in various applications due to its ability to automatically learn and extract complex patterns from large datasets. At the heart of deep learning are neural networks, which are composed of layers of interconnected nodes (neurons). These networks are "deep" because they consist of multiple hidden layers between the input and output layers. Each neuron in a layer receives inputs, performs computations, and passes its output to the next layer. The connections between neurons are weighted, and during the training process, these weights are adjusted to minimize the difference between the network's predictions and the actual targ

  Introduction: In a remarkable conservation effort that spans continents, Africa's majestic cheetahs have found an unexpected refuge in India's Kuno National Park. This unique endeavor aims to reintroduce these iconic big cats into a new environment, fostering biodiversity and creating a new chapter in wildlife conservation. This article delves into the story of Africa's eight cheetahs and their journey to Kuno National Park, highlighting the significance of this initiative and its potential impact on India's ecosystem. The Cheetah's Plight: Cheetahs, once widely distributed across the globe, have faced drastic population declines due to habitat loss, human-wildlife conflict, and poaching. In Africa, their native habitat, their numbers have dwindled significantly. Recognizing the need for conservation, experts embarked on a mission to secure the future of these remarkable predators. The Ambitious Translocation Project: India's Kuno National Park, located in the