OverviewTensorflow is an open source machine learning/deep learning framework developed by Google for everyone. Tensorflow includes Machine Learning API such as Neural Network, Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Word Embedding, Seq2Seq, Generative Adversarial Networks (GAN), Reinforcement Learning, and Meta Learning. This course will show you how to build deep learning applications using Tensorflow.Tensorflow is based on the Python, a widely used programming language for data analytics and engineering in the world. In this course, you will equip yourself the basic and advanced knowledge of Python. After that, you will learn the basic and advanced topics in Tensorflow. By the completion of this course, you will be able to develop your own NN, CNN and RNN model for image recognition and sentimental analsyis using either Tensorflow or Keras. Tensorflow is based on the Python, the most popular programming language for data analytics and engineering in the world. In this course, you will equip yourself the basic and advanced knowledge of Python. After that, you will learn the basic and advanced topics in Tensorflow. By the completion of this course, you will be able to develop your own NN, CNN and RNN model for image recognition and sentimental analsyis using either Tensorflow or Keras. The topics include:
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Learning OutcomeBy end of the course, learners will acquire the following skills and knowledge
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Who should Attend?
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Eligibility Criteria
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This course is endorsed under Critical Infocomm Technology Resource Programme Plus (CITREP+) Programme. To find out more about CITREP+ Funding, please refer to Programme Support under CITREP+ page |
Information is accurate as of 6 August 2019