Deep Learning Course (with Keras & TensorFlow) Certification Training

Deep Learning Course Overview

In this Deep Learning course with Keras and Tensorflow certification training, 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.

What you'll learn

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  • Learn Research
  • Collect Usefull Data
  • Requirement Analysis Phase
  • Market competent Skills
  • Problem Solving Skills
  • Model Implementation Skills
  • Building or Developing Phase
  • Presenting and Testing Skills

    Course Includes:

  • 7+ hours on-demand video
  • 7+ articles
  • 20+ downloadable resources
  • Full access
  • Access on mobile and TV
  • Certificate of completion

Benefits

Whether you work for a small company, a large corporate or from home, a computer will be one of the first pieces of office equipment you’re going to need. And they comes in different forms, such as laptops and desktops. Computer skills are a valuable addition to any employee’s personal portfolio. Upskilling and polishing your computer literacy can greatly increase your desirability to employers. This is the perfect opportunity to take on roles you might not have previously considered. As an employer, motivating your employees to become computer literate will increase productivity and also stave off problems that can cost time and significant amounts of money. Many companies have started to depend upon computerised technology to get work done. Which is why computer skills have become increasingly important. Having the necessary and basic computer course knowledge will put you a step ahead of others. You’ll have a big advantage over those who aren’t computer literate. It’s for this specific reason that many schools and tertiary institutions encourage students to complete basic computer studies. Here are three reasons why being computer literate is beneficial in the workplace.

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Learning — Blended to Perfection

Learning — Blended to Perfection

Learning — Blended to Perfection

Course Inquiry

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Training Options

SELF-PACED LEARNING

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  • Lifetime access to high-quality self-paced eLearning content curated by industry experts
  • 4 hands-on projects to perfect the skills learnt
  • 2 simulation test papers for self-assessment
  • 24x7 learner assistance and support

BLENDED LEARNING

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  • Everything in Self-Paced Learning, plus
  • 90 days of flexible access to online classes
  • Live, online classroom training by top instructors and practitioners
  • 24x7 learner assistance and support

CORPORATE TRAINING

  • Blended learning delivery model (self-paced e-learning and/or instructor-led options)
  • Flexible pricing options
  • Enterprise grade Learning Management System (LMS)
  • Enterprise dashboards for individuals and teams
  • 24x7 learner assistance and support
  • 24x7 learner assistance and support

Tensorflow Certification Course Curriculum

Eligibility

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

Pre-requisites

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

Course Content

Lesson 2 - Introduction to Tensorflow
2.1 Learning Objectives
2.2 Introduction to TensorFlow
2.3 TensorFlow's Hello World
2.4 Tensorflow Hello World
2.5 Linear Regression With Tensorflow
2.6 Logistic Regression With Tensorflow
2.7 Activation Functions
2.8 Intro to Deep Learning
2.9 Deep Neural Networks
Lesson 3 - Convolutional Networks
3.1 Learning Objectives
3.2 Intro to Convolutional Networks
3.3 CNN for Classifications
3.4 CNN Architecture
3.5 Understanding Convolutions
3.6 CNN with MNIST Dataset
Lesson 4 - Recurrent Neural Network
4.1 Learning Objectives
4.2 The Sequential Problem
4.3 The RNN Model
4.4 The LSTM Model
4.5 Applying RNNs to Language Modeling
4.6 LTSM Basics
4.7 MNIST Data Classification With RNN/LSTM
4.8 Applying RNN/LSTM to Language Modelling
4.9 Applying RNN/LSTM to Character Modelling
Lesson 5 - Restricted Boltzmann Machines (RBM)
5.1 Learning Objectives
5.2 Intro to RBMs
5.3 Training RBMs
5.4 RBM MNIST
5.5 Collaborative Filtering With RBM
Lesson 6 - Autoencoders
6.1 Learning Objectives
6.2 Intro to Autoencoders
6.3 Applying RNNs to Language Modelling
6.4 Autoencoders
6.5 DBN MNIST
Lesson 1 - Welcome!
1.1 Welcome!
1.2 Learning Objectives
Lesson 7 - Course Summary
7.1 Course Summary
Unlocking IBM Certificate

Course Training Session FAQ'S

IT Nuggets Online is a progressive IT company engaged in creating eye-grabbing computer-based content in English, for the benefit of students. we offer learning process that blends texts, visuals, animation, video clips, and sound to give a complete learning experience to students.
Everyone Take an Online Classes in Your Flexible Times.
Yes, You Can Enroll More Than Courses.
After Meeting the Certification Criteria Explained By Instructor which will be contain some quiz and hands on exercise then definitely you will get certification.