Deep learning (DL) is a highly impactful field in machine learning that has revolutionized various domains. DL can learn from large datasets, extract complex patterns, and make accurate predictions. It has applications in computer vision, natural language processing, healthcare, finance, and more. However, DL has challenges such as data requirements, computational resources, interpretability, and vulnerability to adversarial attacks. Researchers are actively addressing these limitations to enhance the capabilities and reliability of DL models. Overall, DL has significantly advanced AI and continues to drive innovation across industries
Deep learning (DL) is playing an increasingly important role in our lives. It has already made a hug...
Deep learning (DL) has shown unstable improvement in its application to bioinformatics and has displ...
Deep learning is a branch of machine learning similar to artificial intelligence. The applications o...
Artificial Intelligence (AI) has attracted the attention of researchers and users alike and is takin...
Artificial intelligence (AI) is additionally serving to a brand new breed of corporations disrupt in...
Acknowledgements: The authors highly express their gratitude to Asian University for Women, Chattogr...
Purpose: Deep learning is a predominant branch in machine learning, which is inspired by the operati...
Deep learning (DL) is a subdomain of machine learning (ML) representing exponentially growing potent...
Deep Learning was developed as a Machine learning approach to influence advanced input-output mappin...
The explosion of data usage has contributed to the requirement of processing extensive amount of da...
Deep learning is an emerging area of machine learning (ML) research. It comprises multiple hidden la...
In the last few years, the deep learning (DL) computing paradigm has been deemed the Gold Standard i...
In the last few years, we have witnessed an exponential growth in research activity into the advance...
Deep learning (DL) represents a paradigm-shifting, burgeoning field of research with emerging clinic...
This book will focus on the fundamentals of deep learning along with reporting on the current state-...
Deep learning (DL) is playing an increasingly important role in our lives. It has already made a hug...
Deep learning (DL) has shown unstable improvement in its application to bioinformatics and has displ...
Deep learning is a branch of machine learning similar to artificial intelligence. The applications o...
Artificial Intelligence (AI) has attracted the attention of researchers and users alike and is takin...
Artificial intelligence (AI) is additionally serving to a brand new breed of corporations disrupt in...
Acknowledgements: The authors highly express their gratitude to Asian University for Women, Chattogr...
Purpose: Deep learning is a predominant branch in machine learning, which is inspired by the operati...
Deep learning (DL) is a subdomain of machine learning (ML) representing exponentially growing potent...
Deep Learning was developed as a Machine learning approach to influence advanced input-output mappin...
The explosion of data usage has contributed to the requirement of processing extensive amount of da...
Deep learning is an emerging area of machine learning (ML) research. It comprises multiple hidden la...
In the last few years, the deep learning (DL) computing paradigm has been deemed the Gold Standard i...
In the last few years, we have witnessed an exponential growth in research activity into the advance...
Deep learning (DL) represents a paradigm-shifting, burgeoning field of research with emerging clinic...
This book will focus on the fundamentals of deep learning along with reporting on the current state-...
Deep learning (DL) is playing an increasingly important role in our lives. It has already made a hug...
Deep learning (DL) has shown unstable improvement in its application to bioinformatics and has displ...
Deep learning is a branch of machine learning similar to artificial intelligence. The applications o...