Deep Learning Training

(3) 3 Ratings

Course Schedule

30

JUL

Mon - Sat

07:30 PM - 10:00 PM ( IST )

06

AUG

Mon - Fri

11:00 AM - 02:00 PM ( IST )

11

AUG

Sat - Sun

05:30 AM - 06:30 AM ( IST )


Total Learners

766 Learners


LMS Access

365 days

Course duration

30 days


Support

24/7 support

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The Instructor for this course is from one of the Big5 Companies in the world.

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Modes of Training

Corporate Training

Live, Classroom Or Self Paced Training

Online Classroom

Attend our Instructor Led Online Virtual Classroom

Self Paced Training

Comprehensive Recorded Videos by Experts to learn at your own pace

Course Features

Live Instructor-led Classes

This isn't canned learning. Its dynamic, its interactive, its effective

Expert Educators

Only the best or they're out. We are constantly evaluating our trainers

24&7 Support

We never sleep. Need something answered at 3 am? No Problem

Flexible Schedule

You don't learn as per our calendar. We work according to yours

☰ Details

Course Curriculum

Getting Started

  • Overview of AI and Machine Learning
  • What is TensorFlow?
  • Tensor and Data Types
  • Install and Run TensorFlow.

Basic Tensorflow Operations

  • Graph and Session
  • Math Operations
  • Matrix
  • Graph Operations
  • Placeholder
  • Variable.

Datasets

  • MNIST Handwritten Digits Dataset
  • CIFAR Image Dataset
  • One Hot Encoding/Decoding.

Machine Learning

  • Machine Learning Approach - Loss, Optimizer, Train
  • ML on Linear Regression
  • ML on Classification
  • Softmax and Cross Entropy
  • Save and Load Model.

Neural Network (NN)

  • What is Neural Network
  • Activation Functions
  • Why Deep Learning?
  • Neural Network for Handwritten Digit MNIST Dataset.

Tensorboard

  • What is Tensorboard?
  • Visualize a Tensorboard Graph
  • Output Data to Tensorboard.

Convolutional Neural Network (CNN)

  • What is CNN?
  • CNN Architecture
  • Convolution Layers
  • Pooling and Dropout Layers
  • CNN on the MNIST dataset.

Recurrent Neural Network (RNN)

  • Sequential Data
  • What is RNN?
  • Types of RNN
  • How to train an RNN
  • Long-Term Dependencies
  • LSTM and GRU Cells
  • RNN on IMDB dataset.

Basic Keras

  • What is Keras?
  • NN with Keras
  • Tensorboard Callback
  • CNN with Keras
  • Transfer Learning
  • RNN with Keras.

Course Description

What are the Objectives for this Training Course?

  • Learn to use Python, Tensorflow and Keras to develop deep learning applications
  • Learn deep learning methodologies to process not only image-based datasets but also raw text, numbers etc.
  • Develop the ability to independently solve business problems using deep learning techniques
  • Develop a verified portfolio with hands-on deep learning projects that will showcase the new skills acquired by employers.

Who Should Attend this Training Course?

  • Data Scientists
  • Data Analysts
  • Machine Learning Engineers and Developers.

What are the Pre-requisites for this Training Course?

This is an intermediate course. The following knowledge is assumed:

  • Basic Python.

FAQ

Do you have self paced training?

Yes, we offer self paced training

How do you provide training?

We offer three different modes of training. Instructor Led Live Training, Self Paced Training and Corporate Training

Do you offer any discounts?

Yes we offer discounts for group of 3 plus people.

Can I choose timings that suits my schedule?

Yes we are the only company where we work with students and offer flexible timings which fits your schedule

Who are the Instructors?

All our instructors are from MNC companies who have real time experience of more than 10 years.

Can I attend a demo session before joining?

Yes we offer a free demo session with the instructors. The trainer will answer all your queries and share the course agenda.

Course Reviews

Deepika

I came across Live Training Bangalore while I was searching for Fast Track courses in Deep Learning. Their coordinators and instructors responded positively and I was able to get a good conceptual overview. Thank you LTB.

Abhinav

Had a Great Experience in learning the Course with LTB. The trainer has a Practical Knowledge about the subject and taught us with real-time scenarios. Thank you LTB.

Sandeep

It was a great experience to undergo and get certified in the Deep Learning Course from LTB. As a working professional, it has not only given me an exposure to the domain but also helped me learn cross technologies and develop an inclination towards it. Thank you.