Deep Learning With TensoFlow(E-Learning)
Course Information
| Start Date | 30 Jun 2020, Tuesday |
| End Date | 30 Jun 2020, Tuesday |
| Time | 09:00 am to 05:00 pm |
| Venue | Online |
| Fee | $690 (Excluding GST), Inclusive of e-certificate, e-materials |
| Contact | 6720 3333 (Ms Rina) training.aventis@gmail.com |
 | Register Now |
 | Get Group Quote |
 | 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
