Data Science: Modern Deep Learning in Python

Build with modern libraries like Tensorflow, Theano, Keras, PyTorch, CNTK, MXNet. Train faster with GPU on AWS.
4.70 (3619 reviews)
Udemy
platform
English
language
Data Science
category
Lazy Programmer Inc.
instructor
Data Science: Modern Deep Learning in Python
41,196
students
11.5 hours
content
Mar 2025
last update
$119.99
regular price

What you will 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 TensorFlow

Build a neural network in TensorFlow

Write a neural network using Keras

Write a neural network using PyTorch

Understand the difference between full gradient descent, batch gradient descent, and stochastic gradient descent

Understand and implement dropout regularization

Understand and implement batch normalization

Understand the basic building blocks of Theano

Build a neural network in Theano

Write a neural network using CNTK

Write a neural network using MXNet

Understand important foundations for OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion

Screenshots

Data Science: Modern Deep Learning in Python - Screenshot_01Data Science: Modern Deep Learning in Python - Screenshot_02Data Science: Modern Deep Learning in Python - Screenshot_03Data Science: Modern Deep Learning in Python - Screenshot_04
Related Topics
772462
udemy ID
2/24/2016
course created date
6/9/2019
course indexed date
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