Data Science: Modern Deep Learning in Python
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- The lowest price of Data Science: Modern Deep Learning in Python was obtained on December 21, 2024 5:02 am.
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Data Science: Modern Deep Learning in Python
$124.99
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Data Science: Modern Deep Learning in Python
★★★★★
$124.99
in stock
Udemy.com
as of December 21, 2024 5:02 am
Build with modern libraries like Tensorflow, Theano, Keras, PyTorch, CNTK, MXNet. Train faster with GPU on AWS.
Created by:
Lazy Programmer Inc.
Artificial intelligence and machine learning engineer
Artificial intelligence and machine learning engineer
Rating:4.54 (3546reviews)
39733students enrolled
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 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
Requirements
- Be comfortable with Python, Numpy, and Matplotlib
- If you do not yet know about gradient descent, backprop, and softmax, take my earlier course, Deep Learning in Python, and then return to this course.
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
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