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Machine Learning with Tensorflow

Machine Learning with Tensorflow

Course Description

TensorFlow is an open-source software library for numerical computation using data flow graphs. These tutorials are an entire guide to TensorFlow for Deep Learning with Python. We will help you learn to build a neural network and how to train, evaluate and optimize it with TensorFlow.

The course will include the following;

  • Introduction to Machine learning
  • Setting up your workstation
  • A quick introduction to using python libraries
    • Numpy
    • Pandas
    • Scikit
    • Matplotlib

Tensorflow Basics

  • Hello world in Tensorflow
  • Basic Operations and Concepts
  • Tensorflow Eager API

Basic Models

  • Linear regression
  • Logistic regression

Introduction to neural network

Target Customers:

  • Data scientists
  • Researchers
  • Students
  • Anyone who wants to learn Machine learning

Goals

  • Introduction to Machine learning
  • Setting up your workstation
  • A quick introduction to using python libraries

Prerequisites

  • Basic Python and Mathematics (Linear Algebra Basics)
  • Passion to learn
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Curriculum

  • Introduction to Machine Learning with Tensorflow
    04:02
    Preview
  • Understanding Machine Learning
    06:30
    Preview
  • How do Machines Learns
    11:03
  • Uses of Machine Learning
    07:49
    Preview
  • Examples with tensorflow by Google
    08:32
    Preview
  • Resources File
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Machine Learning with Tensorflow
This Course Includes
  • 13 hours
  • 111 Lectures
  • 1 Resources
  • Completion Certificate Sample Certificate
  • Lifetime Access Yes
  • Language English
  • 30-Days Money Back Guarantee

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