Deep Learning and Computer Vision

BY
Board Infinity

Develop a thorough understanding of the fundamental principles and methodologies of computer vision and deep learning in artificial intelligence.

Lavel

Beginner

Mode

Online

Duration

1 Week

Fees

Free

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based

Course overview

Deep learning, also known as deep neural learning or deep neural network, is an artificial intelligence functionality that resembles the functioning of the human brain in digesting data and developing correlations used in decision making. Deep Learning and Computer Vision online certification is designed by Board Infinity, an online educational platform for job applicants and learners that will assist them in realizing their full potential to achieve their career goals. 

Deep Learning and Computer Vision online course focuses on providing a hands-on experience of the core concepts and principles associated with deep learning and computer vision. Deep Learning and Computer Vision online classes include a variety of data science topics, including natural language processing and neural networks, such as convolutional and recurrent neural networks. Candidates will have developed competencies in technologies such as OpenCV, Jupyter, Tensorflow, Python, Numpy, and others by the end of this course.

The highlights

  • Certificate of completion
  • Live online course
  • Case studies
  • Assignments
  • Projects

Program offerings

  • Online course
  • Mentoring from experts
  • Learning resources
  • Unlimited access
  • Accessible on mobile devices

Course and certificate fees

Type of course

Free

certificate availability

Yes

certificate providing authority

Board Infinity

What you will learn

Data science knowledge Knowledge of deep learning Natural language processing Decision making skills Knowledge of numpy Knowledge of python

After completing the Deep Learning and Computer Vision certification course, candidates will gain a better knowledge of data science's fundamental and advanced concepts and principles, such as deep learning and computer vision. Candidates will learn about recurrent neural networks and convolutional neural networks, as well as other aspects of neural networking. Candidates will gain an in-depth grasp of the tools Tensorflow, Python, Numpy, OpenCV, and Jupyter for making decisions, as well as the approaches involved with natural language processing.

The syllabus

Module 1: Introduction to Natural Languagae Processing

Module 2: Introduction to Deep Learning

Module 3: Deep Dive into Neural Networks

Module 4: Writing your First CNN

Module 5: Deep Dive into CNN

Module 6: Advance CNN Architectures and Training Techniques

Module 7: Basics of RNN using Deep Learning

Module 8: Overview of AI Libraries

Instructors

Mr Anil Chandra Naidu Matcha

Mr Anil Chandra Naidu Matcha
Co Founder
Freelancer

B.E /B.Tech

Mr Dhiman Mandal

Mr Dhiman Mandal
Data Scientist
Ericsson

B.E /B.Tech, M.E /M.Tech.

Mr Shreyas S

Mr Shreyas S
Senior Associate
Freelancer

Mr Anurag Mukherjee

Mr Anurag Mukherjee
Senior Analyst
Accenture

B.E /B.Tech

Mr Sourav Bhattacharyya

Mr Sourav Bhattacharyya
Data Scientist
Wipro Limited

B.E /B.Tech, M.E /M.Tech.

Ms Geetanjali Prasad

Ms Geetanjali Prasad
Head Data science
Freelancer

B.E /B.Tech

Mr Gowtham Jayachandiran

Mr Gowtham Jayachandiran
Data Scientist
Freelancer

B.E /B.Tech, M.E /M.Tech.

Mr Bharath Kumar Bolla

Mr Bharath Kumar Bolla
Analytics Consultant
Verizon

Mr Punit Shah

Mr Punit Shah
Data Science Lead
Freelancer

Other Bachelors, Other Masters

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