About Deep Learning Track

Deep learning algorithms are revolutionizing data science industry and disrupting several domains. From computer vision applications to natural language processing (NLP) use cases - every field is benefitting from use of Deep Learning models.

This is the go-to program if you want to master deep learning from scratch as a student.

In this track, we will start with Python, learn various tools and techniques related to machine learning needed to apply deep learning to solve business problems and finally understand Fundamentals of Deep Learning.

The track helps you build a deep as well as intuitive understanding of what is Deep Learning, where can Deep Learning Models be applied, and then helps you solve several real life problems. It then helps you prepare for interviews and get ready for industry.

Unique Features of Deep Learning Track

  • Comprehensive Content

    Easy to understand content for students and freshers

  • Hands-on Learning

    A hands-on approach to get ready for the industry

  • Real-World Projects

    Industry readiness by working on real-life projects, hackathons

Bundle includes

Here are all the courses that are included in your bundle.

Key takeaways from this track

  • Learn the best and most popular data science language, Python.

  • Basics of Machine Learning like various evaluation metrics, validation techniques, underfitting & overfitting.

  • Linear, Logistic Regression, Decision Tree and Random Forest algorithms for building machine learning models.

  • Understand how to solve Classification and Regression problems in machine learning

  • Hone your existing deep learning and neural network skills, and get answers to all the below questions in an applied first methodology.

    • What is deep learning?

    • What are the different types of neural networks?

    • What part do these neural networks play in the deep learning space?

    • When should you choose convolutional neural networks (CNN) over recurrent neural networks (RNN) - and vice versa?

    • How can you build deep learning models in Python?

    • What is forward propagation? And what is backpropagation?

    • What are the different loss functions in deep learning?

    • What are the different deep learning frameworks?

    • TensorFlow vs. PyTorch vs. Keras - which deep learning framework should you choose?

  • The track also helps you ace Data Science interviews


Benefits of Analytics Vidhya Online Gurukul

The Deep Learning Track by AV Online Gurukul is designed specifically for students & freshers to gain new-age Data Science skills of 21st century.

  • Students can learn at their own pace

  • Track Progress & Performance

  • Accelerates learning with industry professionals

  • Live Q & A Sessions

  • Discussion portal for peer to peer learning

Start Your Journey In Deep Learning

Want to know more about Analytics Vidhya Online Gurukul?

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Instructor(s)

  • Kunal Jain

    Founder & CEO

    Kunal Jain

    Kunal is the Founder of Analytics Vidhya. Analytics Vidhya is one of largest Data Science community across the globe. Kunal is a data science evangelist and has a passion for teaching practical machine learning and data science. Before starting Analytics Vidhya, Kunal had worked in Analytics and Data Science for more than 12 years across various geographies and companies like Capital One and Aviva Life Insurance. He has worked with several clients and helped them build their data science capabilities from scratch.
  • Pranav Dar

    Senior Content Strategist and BA Program Lead, Analytics Vidhya

    Pranav Dar

    Pranav is the Senior Content Strategist and BA Program Lead at Analytics Vidhya. He has written over 300 articles for AV in the last 3 years and brings a wealth of experience and writing know-how to this course. He has a decade of experience in designing courses, creating content and writing articles that people love to read. Pranav is also an instructor on 14+ courses on Analytics Vidhya and is a passionate sports analytics blogger as well.
  • Sunil Ray

    Chief Content Officer

    Sunil Ray

    Sunil Ray is Chief Content Officer of Analytics Vidhya. He brings years of experience of using data to solve business problems for several Insurance companies. Sunil has a knack of taking complex topics and then breaking them into easy and simple to understand concepts - a unique skill which comes in handy in his role at Analytics Vidhya. Sunil also follows latest developments in AI & ML closely and is always up for having a discussion on impact of technology on years to come.

FAQ

  • Who should take this deep learning track on Analytics Vidhya Online Gurukul?

    This track is meant for students, faculty and research students looking to learn machine learning. Colleges/universities can bulk-enroll their students to help them learn machine learning.

  • Do I need to install any software as part of the program?

    You will get information about all installations as part of the course.

  • How long can I access the track?

    You will be able to access the materials for 3 months since the date of your enrollment.

  • I m a student and complete beginner in machine learning, is this track right for me?

    Yes, we have designed this track keeping students in mind. There is no requirement of any prior knowledge about machine learning or any tool.

  • What is the fee for this track?

    The price of the course is mentioned at the top of page. The fee is non-refundable.