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Fundamentals of Deep Learning
Develop a thorough understanding of the principles and methodology of deep learning, as well as the numerous tools that go with it.
Beginner
Online
1 Week
Free
Quick facts
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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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
certificate availability
certificate providing authority
What you will learn
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, Numpy, Tensorflow, and Jupyter, which are all useful in deep learning projects.
Who it is for
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
Co Founder
Freelancer
B.E /B.Tech
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