Deep Learning with Python and Keras

4.2 (2605)
MOOC
Payment
Learning paid
Language
English
Duration
10 hours course
Course by Udemy
$ 129.99
$ 129.99
What will you learn?
To describe what Deep Learning is in a simple yet accurate way
To explain how deep learning can be used to build predictive models
To distinguish which practical applications can benefit from deep learning
To install and use Python and Keras to build deep learning models
To apply deep learning to solve supervised and unsupervised learning problems involving images, text, sound, time series and tabular data.
To build, train and use fully connected, convolutional and recurrent neural networks
To look at the internals of a deep learning model without intimidation and with the ability to tweak its parameters
To train and run models in the cloud using a GPU
To estimate training costs for large models
To re-use pre-trained models to shortcut training time and cost (transfer learning)
About the course

This course is designed to provide a complete introduction to Deep Learning. It is aimed at beginners and intermediate programmers and data scientists who are familiar with Python and want to understand and apply Deep Learning techniques to a variety of problems.

We start with a review of Deep Learning applications and a recap of Machine Learning tools and techniques. Then we introduce Artificial Neural Networks and explain how they are trained to solve Regression and Classification problems.

Over the rest of the course we introduce and explain several architectures including Fully Connected, Convolutional and Recurrent Neural Networks, and for each of these we explain both the theory and give plenty of example applications.

This course is a good balance between theory and practice. We don't shy away from explaining mathematical details and at the same time we provide exercises and sample code to apply what you've just learned.

The goal is to provide students with a strong foundation, not just theory, not just scripting, but both. At the end of the course you'll be able to recognize which problems can be solved with Deep Learning, you'll be able to design and train a variety of Neural Network models and you'll be able to use cloud computing to speed up training and improve your model's performance.

Program
Welcome to the course!
Welcome to the course!
Introduction
Welcome to the course!
Real world applications of deep learning
This is a hands-on course where you learn to train deep learning models. Deep learning models are used in real world applications to power technologies such as language translation and object recognition.
Download and install Anaconda
Lets get our development environment ready. Let's install Anaconda python andadditional python packages you will need in order to follow the course.
Installation Video Guide
Obtain the code for the course
Let's get the source code that we will use during the course.
Course Folder Walkthrough
Your first deep learning model
Running your first model will help us check that you have installed all the material correctly.
Data
Section 2 Intro
Tabular data
First of all let's establish a common vocabulary and introduce some common terms that will be used throughout the course
Requirements
  • Knowledge of Python, familiarity with control flow (if/else, for loops) and pythonic constructs (functions, classes, iterables, generators)
  • Use of bash shell (or equivalent command prompt) and basic commands to copy and move files
  • Basic knowledge of linear algebra (what is a vector, what is a matrix, how to calculate dot product)
  • Use of ssh to connect to a cloud computer
Lecturers
Data Weekends
Data Weekends
Learn the essentials of Data Science in just one weekend
Jose Portilla
Jose Portilla
Head of Data Science, Pierian Data Inc.
Francesco Mosconi
Francesco Mosconi
Platform
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Udemy courses are suited to professional development. The platform is organized in such a way that it is experts themselves that decide the topic and when the course will start. All supporting documents are made available to you for lifetime access. On this platform, you can find a course on about any subject, and that is no exaggeration – from a tutorial on how to ride a motorcycle, to managing the financial markets. The language and the course format are established by the teacher. This is why it is important to read the information about the course carefully before parting with any money.
Rating
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