DSC-550 Neural Networks And Deep Learning
In DSC-550 Neural Networks And Deep Learning course, students study about deep artificial neural networks, reviewing the theoretical concepts, and practical applications in data science. They design and implement ANNs, while learning methods for training, testing, and deployment and a division is made between neural networks, convolutional neural networks, and recurrent neural networks. The prerequisite of this course is DSC-520.
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Attain data science assessment solutions and DSC-550 Neural Networks And Deep Learning assignment help with different related domain and units, such as -
- DSC-520 Regression Analysis Assignment Help
- DSC-530 Predictive Modeling Assignment Help
- DSC-510 Advanced Probability and Statistics Assignment Help
- DSC-540 Machine Learning for Data Science Assignment Help