A beginners guide for building neural networks in tensorflow

A beginners guide for building neural networks in tensorflow

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A beginners guide for building neural networks in tensorflow

Deep Learning with Google TensorFlow|Hands-On|Python, Google TensorFlow : Learn, Implement Deep Learning & master one of the cornerstone skills of a Data Scientist.

Created by UNP United Network of Professionals

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What you'll learn
  • TensorFlow installation
  • Different TensorFlow Environments
  • Computation graphs
  • Artificial Neural Networks (ANN)
  • Convolutional Neural networks (CNN)
  • Regularization in Neural Networks - Dropout and Max Pooling
  • Keras & TfLearn
  • Building a custom Image Classifier on ANY Dataset
  • Extensive Assignments :Test your Understanding & Periodic Updates on the Subject
  • Transfer learning and how to use Google inception

Requirements
  • Knowledge of at least one programming language
  • Basic math and statistics

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