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Neural Network Programming with TensorFlow

( Duration: 5 Days )

In Neural Network Programming with TensorFlow training course, you will learn to create a handwritten number recognition system trained on the famous MNIST dataset, work with simple multilayer perceptron to a state of the art Deep Convolutional Neural Network.

By attending Neural Network Programming with TensorFlow Workshop, delegates will learn to:

  • Develop a strong background in neural network programming from scratch, using the popular Tensorflow library
  • Use TensorFlow to implement different kinds of neural networks - from simple feedforward neural networks to multilayered perceptrons, CNNs, RNNs and more
  • Explore Optimization techniques for solving problems like Local minima, Global minima, Saddle points
  • Understand the Linear Algebra and mathematics behind neural network

This Neural Network Programming with TensorFlow class is meant for developers with a statistical background who want to work with neural networks. Though we will be using TensorFlow as the underlying library for neural networks, the course can be used as a generic resource to bridge the gap between the math and the implementation of deep learning.



Learn the foundational points of neural networks


Understand the various types of networks like RNNs, CNNs, DBNs, GANs, etc


Learn how to optimize your neural networks


Apply your learning with one of the most popular DL frameworks, TensorFlow

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Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.