Deep Learning With TensorFlow

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This course introduces Deep Learning concepts and Tensorflow library to students.

The abundance of data and affordable cloud scale has led to an explosion of interest in Deep Learning. Google has released an excellent library called Tensorflow to open-source, allowing state-of-the-art machine learning done at scale, complete with GPU-based acceleration.

  • Basic knowledge of Python language and Jupyter notebooks is assumed.
  • Basic knowledge of Linux environment would be beneficial
  • Some Machine Learning familiarity would be nice, but not necessary.

3 Days/Lecture & Lab

This course is designed for Developers, Data analysts, and Data Scientists

  • Introduction to Machine Learning
  • Introducing Tensorflow
  • The Tensor: The Basic Unit of Tensorflow
  • Single Layer Linear Perceptron Classifier With Tensorflow
  • Hidden Layers: Intro to Deep Learning
  • High level Tensorflow: tf.learn
  • Convolutional Neural Networks in Tensorflow
  • Introducing Keras
  • Recurrent Neural Networks in Tensorflow
  • Long Short Term Memory (LSTM) in Tensorflow
  • Conclusion




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