Intro to Machine Learning with TensorFlow

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This is now a virtual classroom course. You can find more information about our virtual classroom here

This is a 16-hour course on Tensorflow. We will explore Tensorflow architecture and application programming interfaces to build machine learning algorithms and train then on a real world dataset.

A discount is available when:
  • a single customer proceeds with more than three registrations for a particular session;
  • a learner is not currently employed.
Please contact us to receive your discount coupon if you meet any of the above-mentioned criteria.

Please also note that the upcoming sessions are guaranteed to run once they have a minimum number of learners registered.
Total price:
540.00660.00 final price

Available Sessions

DateTimezoneTraining TypeWeekend-WeekdayDescriptionPrice 
Coming soon540.00660.00 final price

This is a 16-hour course on Tensorflow. We will explore Tensorflow architecture and application programming interfaces to build machine learning algorithms and train then on a real world dataset.

Who should attend

IT Professionals with some experience in programming , data analysis and statistics interested in expanding and building skills on a state of the art framework used to build any kind of machine learning algorithms and high performance computations over big amounts of data

Prerequisites

  • Python programming fluency
  • Fundamentals of Statistics and Machine learning

What will you learn

During the course you will cover the following topics:

  • Introduction to Tensorflow
    • Present a small model end to end using Jupyter Notebook
    • Present a small model end to end using a python development environment
    • Introduction to Tensors and Operations 
    • Data Loading and Saving Models and results using Tensorflow
    • Introduction to the Computational Graph
    • Visualize the Computational Graph
    • Debugging Tensorflow Graphs
    • Monitoring Training metrics 
  • Developing Models from Using Tensorflow
    • Build a Neural Network 
    • Build a Regression model
    • Build a Tree model
    • Model Evaluation
    • Deploying models for production use

All course material will be taught using a ready made development environment using Jupyter notebooks and Python Development Environment fully integrated with Tensorflow libraries and execution environment. Real world size and complexity datasets will be provided as well.

 

Timezone

Training Type

Weekend-Weekday

How it works

Registration

You may enroll in the course by providing your full name and email address through our website's 'add to cart' feature or by sending an email to hello@learningactors.com. We treat your personal data, including your full name and email address, with strict confidentiality.

Payment Options

We offer multiple payment methods, including credit cardbank transfer, and PayPal. To receive your invoice, please provide your VAT number (when applicable), address, and zip code. Again, you may provide us with this information either through our website's 'add to cart' feature or by sending an email to hello@learningactors.com. Please note that you can typically expect to receive your invoice on the first day of training, unless there are exceptional circumstances that necessitate a different approach. We’re happy to provide you with a pro-forma invoice if this meets your needs.

Expectations

Following registration, you can anticipate an info email from us approximately one week before the course start date. This email will contain course details, such as the title, date, and time, along with a request to complete a pre-course form. Additionally, we will provide the relevant Zoom link, which is  applicable for all our virtual-live courses, and will invite you to the course's Slack channel on the LA Slack workspace (learningactors.slack.com). For specific courses, you will also receive a preparation email that will set you ready for the course.
Finally, after the session concludes, we kindly request that you take a moment to provide us with your feedback, as it is of great importance to us. Additionally, we will ensure that you receive the learning material through Slack, which will be instrumental in keeping your learning journey on track!

Reminders

  • Discounts are available in two scenarios: when a single customer registers for more than three sessions or if the customer is currently unemployed. Contact the LA team to receive a discount coupon if you meet these criteria.
  • All upcoming sessions displayed on our website are guaranteed to proceed once the minimum required number of learners register. In the case that we must cancel a session, a full refund will be issued to those who have pre-paid for that specific session.

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