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Deep Learning (from basics)

Deep Learning with Python/ Keras
Shrirang Korde
75 students enrolled
The students will be able to understand what is Deep Learning. How to create various model and solve the problems hands-on using Keras.
As part of various hands-on activities, students will learn how to apply Deep Learning to real world problems

Following topics are covered as part of the course

  • Explore building blocks of neural networks

    • Data representation, Tensor, Back propagation

  • Keras

    • Dataset, Applying Keras to cases studies, over fitting / under fitting

  • Artificial Neural Networks (ANN)

    • Activation functions

    • Loss functions

    • Gradient Descent

    • Optimizer

  • Image Processing

    • Convnets (CNN), hands-on with CNN

  • Text and Sequences

    • Text data, Language Processing

    • Recurrent Neural Network (RNN)

    • LSTM

    • Bidirectional RNN

  • Gradients and Back Propagation – Mathematics

Fitment - Design Issues

You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!

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7 hours on-demand video
12 lectures
Full lifetime access
Access on mobile and TV
Certificate of Completion

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