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Getting Started with Deep Learning

  • IntermediateLevel

  • 44611+Students Enrolled

  • 9 Hrs Duration

  • 4.8Average Rating

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About this Course

  • Deep Learning is transforming industries, from computer vision to NLP, with powerful applications.
  • This course starts from scratch, covering Neural Networks & Deep Learning step by step.
  • Gain hands-on experience in building deep learning models using frameworks like TensorFlow, PyTorch, and Keras.

Learning Outcomes

DL Fundamentals

Master Deep Learning fundamentals and core concepts.

CNNs, RNNs and LSTMs

Explore CNNs, RNNs, LSTMs, and when to use them for specific tasks.

Keras and Pytorch

Apply Deep Learning with Keras & PyTorch to solve real-world problems

Who Should Enroll

  • Data scientists, AI/ML engineers, and developers—build a strong foundation in deep learning concepts and applications.
  • AI beginners, students, and researchers—Explore and understand fundamental deep learning concepts.
  • Perfect for those looking to gain hands-on skills in practical deep learning implementation.

Course Curriculum

Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.

toolstoolstools

  1. 1. What is Deep Learning?

  2. 2. Deep Learning and machine learning?

  3. 3. Why Deep learning is popular

  1. 1. Weigts in perceptron

  2. 2. Multi layer perceptron.

  1. 1. Forward Propagation - Mathematics

  2. 2. Backward Propagation - Mathematics

  3. 3. Backward Propagation: Matrix Form

  4. 4. Neural Network From scratch Using Numpy

  5. 5. Forward Propagation (using Numpy)

  6. 6. Backward Propagation (using Numpy)

  1. 1. Why Do We Need Activation Function?

  2. 2. Linear Activation Function

  3. 3. Sigmoid and Tanh

  4. 4. ReLU and Leaky ReLU

  5. 5. Tips To Selecting Right Activation

  6. 6. Backward Propagation (using Numpy)

Meet the instructor

Our instructor and mentors carry years of experience in data industry

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Kunal Jain

Founder & CEO, Analytics Vidhya

Kunal has 15+ years of experience in the field of Data Science and is the founder and CEO of Analytics Vidhya- the world's 2nd largest Data Science community.

Get this Course Now

With this course you’ll get

  • 9 Hours

    Duration

  • Kunal Jain

    Instructor

  • Intermediate

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Industry-Recognized Credential
  • Career Advancement Credential
  • Shareable Achievement
certificate

Frequently Asked Questions

Looking for answers to other questions?

Deep Learning is a subset of Machine Learning that uses artificial neural networks to automatically learn patterns from data. It powers applications like image recognition, speech processing, and autonomous systems.

Yes, the course includes hands-on coding exercises and projects to help you apply deep learning concepts practically.

Yes! Since DeepSDeep learning using Python - that’s the idea behind this course. Python is the most popular language for deep learning and you’ll see why when you take the course!eek is open-source, you can freely use it in commercial projects while also customizing it to fit your needs.

We regularly update the "Fundamentals of Deep Learning" course and hence do not allow for videos to be downloaded.

The DeepSeek API is designed to be user-friendly and efficient, offering robust features that allow for quick integration and high performance in various applications.

Yes, you will receive a certificate upon successfully completing the course.

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