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Deep Learning and Neural Networks with Computer Vision

Surprised to see how Facebook, Instagram automatically detects the face or an object? Become a deep learning expert and build your own neural network and start detecting images, voices etc.

  1. 4.5
  2. (535 ratings)
  • 900+ Learners
  • English

Deep Learning and Neural Networks with Computer Vision

  1. 19999
    • deep learning specialization
    • deep learning & neural network course
    • DataTrained, deep neural network
    • neural networks and deep learning
    900+ Learners
Features
  • 15+ Hours on demand Video
  • Projects Included
  • Certificate of completion
  • Taught by Industry Pros

What you'll learn

  • Understand the intuition behind multiple Neural Networks
  • Understand the intuition behind Convolutional Neural Networks
  • Understand the concepts behind Auto Encoders
  • Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applications
  • Train test sets, analyse variance for DL applications, use standard techniques and optimization algorithms, and build neural networks in TensorFlow

Syllabus

Best-in-class content by leading faculty and industry leaders in the form of cases, videos and assignments, projects, & live sessions.

neural networks and deep learning
 deep neural network
  • This program has been created specifically for students who are interested in machine learning, AI, and/or deep learning, and who have a basic working knowledge of Python programming. Outside of that Python expectation, it's a very beginner-friendly program. Any students in college who want to start a career in Data Science, any data analysts who want to level up in Deep Learning, Students who have at least high school knowledge in math and who want to start learning Deep Learning can do this course
 neural networks and deep learning

The Deep Learning A-Z: Artificial Neural Networks is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology

In this Specialization, you will build and train neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Autoencoders, Object Detection, and learn concepts and their industry applications using Python and TensorFlow and tackle real-world cases such as speech recognition, music synthesis, chatbots, machine translation, natural language processing, and more.

deep neural network

Get industry Recognize certificate of completion in Deep Learning and Neural Networks with Computer Vision form DataTrained eduction which can we varified online through out the world, shared in certification section on your linked profile, downloaded, priented, shared and mentined on your resume.

deep learning & neural network course DataTrained
deep neural network Abhay
  1. 4.5

I really enjoyed this course, it is easy to follow and have many resources to read about this argument without fall in over-complicated mathematics. Good Work

microsoft power bi certification training course Raj
  1. 4.5

This course is amazing in terms of it's friendliness to beginners. The instructor explains the intuitions and codings for the ANN, CNN and RNN very well for a beginner with basic knowledge of Python to understand.

Instructors

Learn from India’s leading Management faculty and Industry leaders

CHIDRI PRAJWAL -M.tech (computer science)
Shreya Gupta
AI Researcher Latitude+Lumiere

I started as my work as a Data Science Intern at iNeuron where I learned Computer Vision for Medical Imaging and made project in the same. Now I am working as Research assistant at Engineers4Exploration (UCSD), where I developed models that helped solve pressing environmental issues.

Dr. Deepika Sharma - Training Head, DataTrained
Dr. Deepika Sharma
Training Head, DataTrained

Dr. Deepika Sharma has been associated with academics /corporate education for more than 10 years. She has a deep passion in the field of Artificial Intelligence, Data Science, and Machine Learning.

Shankargouda Tegginmani - Data Scientist, Accenture
Shankargouda Tegginmani
Data Scientist, Accenture

Shankar is a data Scientist with 14 Years of Experience. His current employment is with Accenture and has experience in telecom, healthcare, finance and banking products.

Why Take this Course

  • The hottest new frontier in the universe of AI and machine learning is in deep learning and neural networks. This learning path is your entryway into the tools, concepts, and finer points of computer vision, natural language processing, and more.
  • If you are just starting out into Deep Learning, then you will find this course extremely useful
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