Course Detail

Deep Learning Course - Silan Software

Course Detail

Location:

Bhubaneswar, Odisha, India
Institute:

Silan Software
Education Type(s):

OfflineOnlineCollege Campus
Education Level:
Qualifications:
Payments Options:
Study Materials:

Yes - Provided by Institute
Hostel/PG Facilities:

Yes
Placement Facilities:

Yes

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Course Description

Deep Learning Course Overview

Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Also known as deep neural learning or deep neural network. This deep learning course with TensorFlow is designed to help you master deep learning techniques and build deep learning models using TensorFlow, the open-source software library developed by Google for the purpose of conducting machine learning and deep neural networks research. Advancements in deep learning are being seen in smartphone applications, creating efficiencies in the power grid, driving advancements in healthcare, improving agricultural yields, and helping us find solutions to climate change.

Deep Learning Certification Key Features

52hours of interactive session

Hands-on coding & Implementation of 4 web based applications

Money Back Guarantee

30 hours of instructor-led training

20+ assisted practices on all modules

5 lesson-end knowledge checks and 1 real-life course-end project

Course Fee

₹30,000.00

Batch Starts On

What skills you will learn with this Deep Learning course?

Understand the TensorFlow concepts from scratch and its main functions, operations.
Implement deep learning algorithms, understand neural networks.
Master in convolutional neural networks, recurrent neural networks, training deep networks and high-level interfaces.
Build deep learning models in TensorFlow and interpret the results.
Understand the language and fundamental concepts of artificial neural networks.
Differentiate between artificial intelligence, machine learning and deep learning.

Course Content

TensorFlow

TensorFlow Introduction
TensorFlow basic terminology like constant, placeholder & variable
TensorFlow Functions & Operations
An example with MNIST database of handwritten digits
Regression Example
TensorBoard
Modularity
Keras

Artificial Neural Networks

Introduction to Artificial Neural Networks
Perceptron Training Rule
Gradient Descent Rule

Deep Learning Applications

Image Processing
Natural Language Processing
Speech Recognition
Video Analytics

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Deep Learning Realtime Projects

Project 1

Lane Detection

This is part one of my deep learning solution for lane detection, which covers the limitations of my previous approaches as well as the preliminary data used.

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Project 2

Traffic Sign Detection

Traffic signs are an integral part of our road infrastructure. They provide critical information, sometimes compelling recommendations, for road users,

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Project 3

Face Mask Detection

In the background of the COVID-19 pandemic, institutions such as the academy suffer a great deal from practically closed globally if the current situation is not going to change.

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