1 | Implement and develop solutions for problems in companies or institutions by the aid of deep learning and convolutional neural networks. |
2 | Gain knowledge to effectively develop and implement convolutional and LSTM neural network models for data science applications. |
3 | Gain knowledge to effectively develop and implement deep learning models by using Python-based platforms such as TensorFlow, Keras, PyTorch, and so on. |
4 | Be able to describe and use different methodologies, procedures and techniques in deep learning. |
5 | Develop or implement research projects in the area of deep learning and convolutional neural networks. |