Hands-On Python Deep Learning

Hands-On Python Deep Learning
Hands-On Python Deep Learning
English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 2h 37m | 653 MB

Implementing deep learning algorithms with Python

Deep learning is the next step to a more advanced implementation of machine learning. The course resolves the confusion between machine learning and deep learning by focusing only on deep learning concepts. Deep learning techniques are used in real-world scenarios such as image scanning, face detection, and many more. It is important to know deep learning algorithms as they are currently trending in sectors such as healthcare, finance, and many more. This hands-on course will help you tackle various issues that you come across while building your Deep Learning applications in the healthcare domain. Right from building your neural nets to reinforcement learning and working with different Deep Learning applications such as computer Vision and voice and image recognition, this course will be your guide in tackling different situations and issues and provide the end to end application of deep learning concepts in the healthcare domain. By the end of the course, you will be able to build neural networks and Deep learning models for your own projects.

This course is a step-by-step structured video tutorial with practical examples and coding to provide solutions to Deep Learning problems in Python. The course’s approach includes various sections, starting with the basic implementation and moving on to advanced levels; each section includes a challenging case study to boost your thinking ability.

What You Will Learn

  • Implementing different neural network models in Python
  • Select the best Python framework for deep learning such as TensorFlow and Keras
  • Build Deep Neural Networks in the healthcare domain to address applications of deep learning in it
  • Apply deep learning techniques and generating production-quality visualizations
  • Practical ways in which deep learning techniques can be applied to develop solutions for image recognition
  • Explore face recognition with Deep Learning
  • Apply document characterization with Deep Learning
  • Work with dialog generation with Deep Learning

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