Fundamentals of Deep Learning

BY
Board Infinity

Develop a thorough understanding of the principles and methodology of deep learning, as well as the numerous tools that go with it.

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

Fundamentals of Deep Learning certification course is created by Board Infinity, a learning system that aims to help individuals achieve excellence and achieve their professional goals. The Fundamentals of Deep Learning online classes by Board Infinity are for students who are looking for a thorough training program that will help them develop a solid understanding of the principles and practices of deep learning.

Fundamentals of Deep Learning online course is a self-paced learning program that includes more than 6 hours of detailed video lectures, as well as numerous projects, case studies, and assignments to give students a well-rounded learning experience. This course starts with a basic introduction to machine learning and then moves on to more advanced subjects like neural networks. Students will have a thorough grasp of how to use Python, Pandas, NumPy, Tensorflow, and Anaconda for a variety of deep learning tasks by the end of this training course.

The highlights

  • Certificate of completion
  • Self-paced course
  • 6 hours of pre-recorded video content
  • Case studies
  • Assignments
  • Projects

Program offerings

  • Online course
  • Mentoring from experts
  • Learning resources
  • Lifetime 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

Machine learning Knowledge of deep learning Knowledge of python Knowledge of numpy

After completing the Fundamentals of Deep Learning online certification, students will be introduced to the fundamentals of machine learning. Students will investigate the essential principles and functionalities of deep learning in machine learning projects. Students will learn how to program their neural networks from the ground up. In addition, students will learn about Anaconda, Python, Pandas, NumpyTensorflow, and Jupyter, which are all useful in deep learning projects.

The syllabus

Introduction to Deep Learning and Application

Artificial Neural Network and Components

Intro to Convolutional Neural Networks

Deep-dive into CNN

Discussion on top CNN architectures

Instructors

Mr Anil Chandra Naidu Matcha

Mr Anil Chandra Naidu Matcha
Co Founder
Freelancer

B.E /B.Tech

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