Free download and Learn Modern Deep Learning in Python Udemy course with Torrent and google drive download link
Build with modern libraries like Tensorflow, Theano, Keras, PyTorch, CNTK, MXNet. Train faster with GPU on AWS.

Modern Deep Learning in Python Description

What you’ll learn in Modern Deep Learning in Python

  • 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
  • AWS: Serverless App Development with AWS: 3-in-1
    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

Requirements for Modern Deep Learning in Python

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