Deep Learning with Tensorflow and Keras

Price
$1,895.00 USD

Duration
3 Days

 

Delivery Methods
Virtual Instructor Led
Private Group

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Course Overview

Google’s Open Source Deep Learning ecosystem, Tensorflow, is the world’s most popular framework for developing powerful deep neural networks. Packaged directly with Keras, the official API, it allows simple and interpretable creation and training of deep learning models. This Tensorflow and Keras course is designed for students familiar with the basics of data science and machine learning who want to dive into the world of deep learning by learning Tensorflow & Keras. This training covers different modalities of neural networks, including Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, and Generative Adversarial Networks.

Private classes on this topic are available. We can address your organization’s issues, time constraints, and save you money, too. Contact us to find out how.

This course includes 6-months access to the full course content in on-demand format to support post-class reference and review.

Course Objectives

  • Learn to use TensorFlow 2.0 for Deep Learning
  • Leverage the Keras API to quickly build models that run on Tensorflow 2
  • Perform Image Classification with Convolutional Neural Networks
  • Use Deep Learning for medical imaging
  • Forecast Time Series data with Recurrent Neural Networks
  • Use Generative Adversarial Networks (GANs) to generate images
  • Use deep learning for style transfer
  • Generate text with RNNs and Natural Language Processing
  • Serve Tensorflow Models through an API
  • Use GPUs for accelerated deep learning

Who Should Attend?

Intermediate to experienced Python developers or experienced developers coming from another programming language.
  • Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
  • Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
  • Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
  • Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
  • Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
  • Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

Learning Credits: Learning Credits can be purchased well in advance of your training date to avoid having to commit to specific courses or dates. Learning Credits allow you to secure your training budget for an entire year while eliminating the administrative headache of paying for individual classes. They can also be redeemed for a full year from the date of purchase. If you have previously purchased a Learning Credit agreement with New Horizons, you may use a portion of your agreement to pay for this class.

If you have questions about Learning Credits, please contact your Account Manager.

Course Prerequisites

Introduction to Python and Python for Data Science; Python for Machine Learning recommended

Agenda

NumPy

Pandas

Data Visualization

Machine Learning Theory

Model Evaluation – Regression and Classification Tasks

Unsupervised Learning Tasks

Neural Network Theory

  • Perceptrons
  • Networks
  • Activation Functions
  • Cost/Loss Functions
  • Backpropagation
  • Gradients

Artificial Neural Networks with keras

Convolutional Neural Networks

Recurrent Neural Networks

Generative Deep Learning

 

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