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Introduction to Deep

Track :

Programming

Lessons no : 6

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What will you learn in this course?
  • Develop practical skills in designing deep neural networks for complex data analysis and pattern recognition using deep learning techniques
  • Implement deep learning models to solve real-world problems in image recognition, natural language processing, and data classification
  • Apply mathematical functions and algorithms to optimize deep learning models for accuracy and efficiency in machine learning tasks
  • Utilize popular deep learning frameworks such as TensorFlow and PyTorch for building and training neural networks
  • Analyze data to identify non-redundant patterns and extract meaningful features using deep learning methods
  • Evaluate the performance of deep learning models and fine-tune parameters for improved predictive accuracy

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Lessons | 6


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Deep Learning is a subset of Machine Learning that uses mathematical functions to map the input to the output. These functions can extract non-redundant information or patterns from the data, which enables them to form a relationship between the input and the output .