We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

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Abstract: This paper proposes a hybrid deep learning model integrating DenseNet201 and InceptionV3 to address the challenges in achieving accurate and reliable cervical cancer classification. Current ...

Please note that not all code from all courses will be found in this repository. Some newer code examples (e.g. most of Tensorflow 2.0) were done in Google Colab. Therefore, you should check the ...

Abstract: With the development of medical digitization technology, artificial intelligence and big data technology, the medical model is gradually changing from treatment-oriented to ...