EncartaLabs

Neutral Network Programming with TensorFlow

( Duration: 5 Days )

In Neutral Network Programming with TensorFlow training course, Delegates 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 Neutral 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
  • Learn Linear Algebra and mathematics behind neural network

This course 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.

COURSE AGENDA

1

Learn the foundational points of neural networks

2

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

3

Learn how to optimize your neural networks

4

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

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 3,500 Modules on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 20,000 corporate candidates across india and abroad
  • All our trainings are conducted in workshop mode with more focus on hands On

View our other course offerings by visiting www.encartalabs.com/course-catalogue

Contact us for delivering this course as a public/open-house workshop for a group of 10+ candidates at our venue

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