• Jenifa Christy . B
• Ranjitha . R
• Preethi . E

Breast cancer is a regarded and growing disease international. Most breast cancers arise more regularly in ladies. Early detection of most cancers is the important thing to fighting cancer. There are many motives why early detection can reduce mortality. A lot of studies work has been finished on breast cancer. This is the most commonplace technique in system learning studies. There are many preceding research on gadget gaining knowledge of. Machine Learning Algorithms with Decision Tree, KNN, SVM, Simplex and many others. They offer an excessive degree of expertise of their discipline. But now a wholly new approach has been advanced to discover the biggest most cancers cells. A new technique to deep getting to know has been evolved. Deep gaining knowledge of is the utility of deep studying techniques to address weaknesses. Commonly used deep studying techniques in artificial intelligence technology are Convolutional Neural Networks, Recurrent Neural Networks, High Belief Networks and so forth. Deep getting to know algorithms provide higher results than understanding devices. It represents the best images capabilities. In our overview, we used CNN for image classification. Most of our research is mainly photo-based totally, and the CNN technique is famous. This article consists of critiques from all authors.

Breast Cancer, Women, Early Detection, System Learning, Deep Learning, CNN.

"Breast Cancer Detection Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.g194-g199, March-2024, Available :http://www.jetir.org/papers/JETIR2403627.pdf

"Breast Cancer Detection Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppg194-g199, March-2024, Available at : http://www.jetir.org/papers/JETIR2403627.pdf