Everything About: Deep learning Advance with Python/Fundamentals with Python & Who Should Attend

Deep learning Advance with Python

Course Duration: 4months – 7months

Deep Learning provides the solution of problems in speech recognition, image recognition, object recognition; also natural language with rising numbers of libraries which are available in python. It has many aspects of modern society as it is also used in web search and in cameras and smartphones too. Its technique helps the developers to attain compound machine learning project. It is said to be a more advanced implementation step towards machine learning. The best thing about it is that instead of using task-based algorithms, it emphasizes learning data representation. It is also known as hierarchal or structured learning.

Instead of using hand codetools, developers with the help of deep learning can do it by building AI programs. By learning deep learning with python you would have hands on both supervised and unsupervised ways, not only this you will learn different levels of representation of abstraction. It helps in producing the data with the help of network where data transfers through multiple layers. Learning this can significantly help you because its demand in the market is increasing as it reduces the time of doing the task tremendously. It helps a lot in the organizations for doing the current work and some research as well. It is being said that deep learning will be very helpful in regards to unstructured data and it provides the best solution for top classification, question answering, natural language understanding, sentiment analysis, and language translation. By gaining knowledge on deep learning with advanced python, you have more expertise in new technology rather than the conventional methods used.

This course is aimed for both those who have and do not have any prior knowledge of Deep learning. It is beginner to advance course to familiarize you with Deep learning and its application industry.

Who Should Attend

  • Professionals/ engineering graduates/ researchers and many others who are dealing with speech recognition, object recognition, image recognition.
  • One who are working on compound machine learning projects and want to work on more advanced level of machine learning.

Deep Learning Fundamentals with Python

Course Duration: 4months – 7months

Deep learning is gaining a lot of heed these days because of its new technology and speed that it provides. It has achieved remarkable accuracy, its algorithms are outperforming even humans in sorting images. Deep Learning is said to be a type of machine learning. It does task classification straight away from images, sound or text. A neural network architecture is mostly used in implementing deep learning. Conventional techniques were limited in their competence and could use only natural data and that too in their raw form, data learning with python has made it more advanced.

The name itself tells its benefits “Deep’ here means layers in the network, so the more are the layers the deeper is said to be the network. Earlier only 2-3 layers were used but with the help of deep learning, you can have hundreds of layers. It is used these days in face recognition in smartphones, voice recognition, text translation, and even traffic sign recognition. Some of its usage in today’s life is it rejects a counterfeit note in the ATM, also self-driven vehicles automatically slow down as it reaches the pedestrian walking, etc. Representation learning is a part of deep learning which gives an array of methods that enables a machine after being provided with raw data to automatically discover the representations needed for classification. With the combination of so many transformations like this, a person can even solve and learn very complex functions. It is also making major advances in solving issues that have resisted the best shots of the artificial intelligence community since so many years.


Who Should Attend

  • One willing to work on neural network architecture for more accuracy and high speed.
  • Professionals , engineering graduates, technologists and many others who will be dealing with task classification straight away from images, sound or text .
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