30
Jun 2020

Deep Learning With TensoFlow(LIVE Stream)

Course Information

Start Date30 Jun 2020, Tuesday
End Date30 Jun 2020, Tuesday
Time09:00 am to 05:00 pm
VenueOnline
Fee$690 (Excluding GST), Inclusive of e-certificate, e-materials
Contact6720 3333 (Ms Rina) training.aventis@gmail.com
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LIVE Stream

In Partnership with Simplilearn

This is an ONLINE course. Participants are able to access to the online course upon completion of registration.

Once activated, the licenses will be valid for ONE YEAR from the date of activation.

Course Overview

In this Deep Learning with Keras and TensorFlow course, you will become familiar with the language and fundamental concepts of artificial neural networks, PyTorch, autoencoders, and more. Upon completion, you will be able to build deep learning models, interpret results and build your own deep learning project.

Eligibility

Demand for skilled deep learning engineers is booming across a wide range of industries, making this Deep Learning with Keras and TensorFlow training well-suited for professionals at the intermediate to advanced level. We recommend this deep learning course particularly for Software Engineers, Data Scientists, Data Analysts and Statisticians with an interest in deep learning.

Pre-requisites

Participants in this Deep Learning with Keras and TensorFlow course should have familiarity with programming fundamentals, fair understanding of basics of statistics and mathematics and good understanding of machine learning concepts.

Course Content

 

          • Section 1 – Deep Learning with Tensor Flow (Self Learning)

            • Lesson 2 – Introduction to Tensorflow

            • Lesson 3 – Convolutional Networks

            • Lesson 4 – Recurrent Neural Network

            • Lesson 5 – Restricted Boltzmann Machines (RBM)

            • Lesson 6 – Autoencoders

            • Lesson 1 – Welcome!

            • Lesson 7 – Course Summary

          • Section 2 – Deep Learning with Keras and Tensor Flow (Live Classes)

            • Lesson 1 – Course introduction

            • Lesson 2 – AI and Deep learning introduction

            • Lesson 3 – Artificial Neural Network

            • Lesson 4 – Deep Neural Network & Tools

            • Lesson 5 – Deep Neural Net optimization, tuning, interpretability

            • Lesson 6 – Convolutional Neural Network

            • Lesson 7 – Recurrent Neural Networks

            • Lesson 8 – Autoencoders

          • Section 3 – Practice Projects

The Simplilearn Data Scientist Master’s Program is an awesome course! You learn how to solve real-world problems, and the wide variety of projects give you hands-on experience to make you industry-ready. The lecturers are experts and share their knowledge energetically. Thank you for an excellent learning experience.

A.Anthony Davis