1620531498
Hello friends, welcome to another video on UNET segmentation. In this video, we are going to use the ISIC-2018 dataset for skin lesion segmentation or skin cancer segmentation. The complete program is build using TensorFlow 2.0
CODE: https://github.com/nikhilroxtomar/Ski…
Subscribe: https://www.youtube.com/c/IdiotDeveloper/featured
#tensorflow #unet #deep-learning
1620531498
Hello friends, welcome to another video on UNET segmentation. In this video, we are going to use the ISIC-2018 dataset for skin lesion segmentation or skin cancer segmentation. The complete program is build using TensorFlow 2.0
CODE: https://github.com/nikhilroxtomar/Ski…
Subscribe: https://www.youtube.com/c/IdiotDeveloper/featured
#tensorflow #unet #deep-learning
1618317562
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TensorFlow is the Machine Learning framework by Google. It is primarily used for Deep Learning related tasks and seamlessly integrates with other Google APIs as well. TensorFlow is clearly one of the most used libraries for Deep Learning in the industry right now and totally worth learning!
By the end of this tutorial, you will have knowledge of the following.
TensorFlow started as an Open-Source Deep Learning library by Google and now is a complete framework for end to end Machine Learning processes. You might be wondering why Google chose this name and what does “Tensor” mean.
#artificial intelligence #deep learning #deep learning with tensorflow 2.0 #tensorflow2.0
1619701680
TensorFlow is the Machine Learning framework by Google. It is primarily used for Deep Learning related tasks and seamlessly integrates with other Google APIs as well. TensorFlow is clearly one of the most used libraries for Deep Learning in the industry right now and totally worth learning!
By the end of this tutorial, you will have knowledge of the following.
#artificial intelligence #deep learning #deep learning with tensorflow 2.0 #tensorflow2.0
1620878411
Welcome to another video on UNET segmentation. In this video, we are going to use the 2018 Data Science Bowl dataset for cell nuclei segmentation. Here, we are going to automate the process of nucleus identification, which allow for more efficient drug discovery testing, shortening the 10 years it takes for each new drug to come to the market.
The complete program for cell nucleus segmentation is build using TensorFlow 2.0 framework.
CODE: https://github.com/nikhilroxtomar/Cel…
DATASET: https://www.kaggle.com/dataset/846136…
Subscribe: https://www.youtube.com/c/IdiotDeveloper/featured
#tensorflow #unet #deep-learning