94% off – Data Science: Deep Learning in Python

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Data Science: Deep Learning in Python

  • What Will I Learn?
  • Apply momentum to backpropagation to train neural networks
  • Apply adaptive learning rate procedures like AdaGrad, RMSprop, and Adam to backpropagation to train neural networks
  • Understand the basic building blocks of Theano
  • Build a neural network in Theano
  • Understand the basic building blocks of TensorFlow
  • Build a neural network in TensorFlow
  • Build a neural network that performs well on the MNIST dataset
  • Understand the difference between full gradient descent, batch gradient descent, and stochastic gradient descent
  • Understand and implement dropout regularization in Theano and TensorFlow
  • Understand and implement batch normalization in Theano and Tensorflow
  • Write a neural network using Keras
  • Write a neural network using PyTorch
  • Write a neural network using CNTK
  • Write a neural network using MXNet

 

Who is the target audience?

  • Students and professionals who want to deepen their machine learning knowledge
  • Data scientists who want to learn more about deep learning
  • Data scientists who already know about backpropagation and gradient descent and want to improve it with stochastic batch training, momentum, and adaptive learning rate procedures like RMSprop
  • Those who do not yet know about backpropagation or softmax should take my earlier course, deep learning in Python, first

 

94% off – Data Science: Deep Learning in Python

With s3buckets.com course offer, you get this course at 94% discount. The original price of this course is $179.99. But with this discount, you get it at $9.99

 

Offer Price:  $9.99
Original Price: $179.99
Title: Data Science: Deep Learning in Python
Series: Video
Genre: Development
Author: Lazy Programmer Inc.
Publisher: Udemy
Format: Video Tutorial

 

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