Google TensorFlow : Learn, Implement Deep Learning & master one of the cornerstone skills of a Data Scientist.
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
Description
This course lays a solid foundation to TensorFlow, a leading machine learning library from Google AI team. You'll see how TensorFlow can create a range of machine learning models, custom deep neural networks to transfer learning models built by big tech giants. You will learn how to use and reuse tensorflow effectively and apply on industry relevant problems.
Who this course is for:
Anyone who wants to study and build neural networks and deep learning using Google Tensorflow

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