92% Off Data Science: Deep Learning in Python | Online Course
Coupon Details
In this course, a guide for writing your own neural network in Python and Numpy, and how to do it in Google’s TensorFlow. Enrolling in Course Data Science: Deep Learning in Python by Lazy Programmer.
Course: Data Science: Deep Learning in Python
Author: Lazy Programmer
Description: A guide for writing your own neural network in Python and Numpy, and how to do it in Google’s TensorFlow.
Skill Level: Intermediate Level
Content: 4 Hours
Lessons: 39
Languages: English
Includes: Lifetime access
Categories: Business / Data & Analytics
There is no risk: 30 day money back guarantee!
Learn Anywhere Available: iPhone, iPad, Tablets, iOS and Android
Recognition Certificate: Course Certificate of Completion.
With Data Science: Deep Learning in Python, Students will be able to:
Students will be able to code a neural network from scratch in Python and numpy
Students will be able to code a neural network using Google’s TensorFlow
Students will be able to describe the various terms related to neural networks, such as “activation”, “backpropagation” and “feedforward”
Students will be able to describe different types of neural networks and the different types of problems they are used for
Students will be able to derive the backpropagation rule from first principles
Students will be able to create a neural network with an output that has K > 2 classes using softmax
Students will be able to install TensorFlow
This course is intended for anyone?
Students interested in machine learning
Professionals who want to use neural networks in their machine learning and data science pipeline. Be able to apply more powerful models, and know its drawbacks.
People who already know how to code in Python and Numpy.
People who already know how to take partial derivatives and log-likelihoods.
Enroll in This Online Course Now!
Disclosure: Our goal is to feature products and services that we think you’ll find interesting and useful. If you purchase them, we may get commissions for purchases made through links on this site from the companies whose products we review.
