Deep Learning
 

Machine Learning Basics

  • Linear Algebra, Probability Distributions, Numerical Computation

  • Learning Algorithms, Hyperparameters and Validation Sets

2. Neural Networks

  • Introduction to Neural Networks, 

  • Perceptron Learning, Backpropagation Learning

3. Deep Learning ( Deep Nets )

  • Deep Feedforward Networks

  • Regularization for Deep Learning

  • Convolutional Neural Networks

  • Recurrent Neural Networks

4. Applications

  • Large-Scale Deep Learning

  • Speech Recognition

  • Natural Language Processing (NLP)

 

 

Tech Stack:

PyTorch ( http://pytorch.org ), TensorFlow ( when needed )

Hadoop Architecture

Course features:

1. Course instructions

2. Assignments every week

3. Courses are designed to build real-world applications for the MARKETPLACE

 

Price: $1499

Duration : 3 months (2 hours a week)

 

 

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(408)505-5499

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