{'fraction_non_alphanumeric': 0.016251354279523293, 'fraction_numerical': 0.0, 'mean_word_length': 5.285714285714286, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Contribution of Neural Networks in Different Applications

Neural networks are very useful and are proving to be very beneficial in various fields. Biomedical applications such as breast cancer image classification, differentiating between the malignant and benign type of breast cancer, etc. are now seen to be making use of neural networks rapidly. Neural networks are showing remarkable results of their effectiveness in these biomedical applications and are proving to be immensely profitable. Another field such as agriculture, which is a very crucial field for survival of human life, can be benefitted from neural networks. Likewise, various fields can gain enormous benefits from the usage of neural networks. This chapter shall explain neural networks in detail. Also, the authors shall provide a brief and detailed insight of the contribution of neural networks in different applications, along with its analysis.