Deep Learning with Python and PyTorch Udemy Free download. Step into the world of Python and PyTorch to build useful and effective deep learning models for images, text, and more.
This course is written by Udemy’s very popular author Packt Publishing. It was last updated on December 13, 2018. The language of this course is English but also have Subtitles (captions) in English (US) languages for better understanding. This course is posted under the categories of Business, Data & Analytics and PyTorch on Udemy.
There are more than 3783 people who has already enrolled in the Deep Learning with Python and PyTorch which makes it one of the very popular courses on Udemy. You can free download the course from the download links below. It has a rating of 4.5 given by 651 people thus also makes it one of the best rated course in Udemy.
The Udemy Deep Learning with Python and PyTorch free download also includes 7 hours on-demand video, 4 articles, 45 downloadable resources, Full lifetime access, Access on mobile and TV, Assignments, Certificate of Completion and much more.
What am I going to learn?
If you are wondering what you are going to learn or what are the things this course will teach you before free downloading Deep Learning with Python and PyTorch, then here are some of things:
- Create neural networks to predict the demand for airline travel in the future
- Identify negative tweets on Twitter by using Convolutional Neural Networks (CNN’s)
- Create a neural network which will identify smiles in your camera app
- Forecast a company’s stock prices for the next day using deep learning models
- Learn intuitive ways to build neural networks using the PyTorch API
- Master PyTorch’s unique features gradually as you work through projects that make PyTorch perfect for rapid prototyping
- Debug your PyTorch code using standard Python tools, so you can easily fix bugs
What do I need?
These are the very few things you need first before you can free download Deep Learning with Python and PyTorch:
- Basic understanding of deep learning and Python programming is assumed.
Is this course right for me?
If you are still confused whether you should free download Deep Learning with Python and PyTorch or is it the course you are actually looking for, then you should know that this course is best for:
- This course is for Python programmers, Data Science professionals who would like to practically implement Python and PyTorch and exploit its unique features in their deep learning projects.
Are you ready to go on a journey into the world of deep learning with the powerful Python and PyTorch? This course will be your guide through the joys and dangers of this new wave of machine learning.
Python is quickly becoming the technology of choice for deep learning and machine learning, because of its ease to develop powerful neural networks and intelligent machine learning applications. Like Python, PyTorch has a clean and simple API, which makes building neural networks faster and easier. It’s also modular, and that makes debugging your code a breeze.
This comprehensive 2-in-1 course will teach you deep learning with Python and PyTorch in an easy-to-understand, practical manner with the help of use cases based on real-world datasets. To begin with, you will create neural networks and deep learning models to predict data and to solve some problems based on the scenarios in the use cases. Next, you will learn how to use Convolutional Neural Networks (CNNs) to classify images, Recurrent Neural Networks (RNNs) to detect languages, and then translate them using Long-Term-Short Memory (LTSM). Finally, you will learn to create Deep Neural Network (DNN) to paint unique images.
Contents and Overview
This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.
In the first course, Real-World Python Deep Learning Projects, you will start of by creating neural networks to predict the demand for airline travel in the future. You will then run through a scenario where you have to identify negative tweets for a celebrity by using Convolutional Neural Networks (CNN’s). Next, you will create a neural network which will be able to identify smiles in your camera app. Finally, the last project will help you forecast a company’s stock prices for the next day using deep learning.
In the second course, Deep Learning Adventures with PyTorch, you will start by using Convolutional Neural Networks (CNNs) to classify images; Recurrent Neural Networks (RNNs) to detect languages; and then translate them using Long-Term-Short Memory (LTSM). Finally, you will channel your inner Picasso by using Deep Neural Network (DNN) to paint unique images.
By the end of this course, you will be ready to use Python and PyTorch proficiently in your real-world deep learning projects.Meet Your Expert(s):
We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:
Jakub Konczyk has enjoyed programming professionally since 1995. He is a Python and Django expert and has been involved in building complex systems since 2006. He loves to simplify and teach programming subjects and share them with others. He first discovered Machine Learning when he was trying to predict real estate prices in one of the early stage startups he was involved in. He failed miserably. Then he discovered a much more practical way to learn Machine Learning, which he would like to share with you in this course. It boils down to the Keep it simple! mantra.
Free Download Deep Learning with Python and PyTorch
File size: 548.19 MB
Last updated: December 13, 2018
File size: 159.26 KB
Last updated: December 13, 2018