Deep Learning Professional Certificate

What you will learn:
- Fundamental concepts of Deep Learning, including various Neural Networks for supervised and unsupervised learning.
- Build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders.
- Application of Deep Learning to real-world scenarios such as object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers.
- Master Deep Learning at scale with accelerated hardware and GPUs.
- Use of popular Deep Learning libraries such as Keras, PyTorch, and Tensorflow applied to industry problems.

Sort options

PyTorch Basics for Machine Learning (edX)

Self Paced
PyTorch Basics for Machine Learning (edX)
Course Auditing
Categories
Effort
Languages
This course is the first part in a two part course and will teach you the fundamentals of PyTorch. In this course you will implement classic machine learning algorithms, focusing on how PyTorch creates and optimizes models. You will quickly iterate through different aspects of PyTorch giving you strong [...]
0
No votes yet

Deep Learning with Python and PyTorch (edX)

Self Paced
Deep Learning with Python and PyTorch (edX)
Course Auditing
Categories
Effort
Languages
This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch. In the first course, you learned the basics of PyTorch; in this course, you will learn how to build deep neural networks in PyTorch. Also, you will learn how [...]
0
No votes yet

Deep Learning Fundamentals with Keras (edX)

Self Paced
Deep Learning Fundamentals with Keras (edX)
Course Auditing
Categories
Effort
Languages
New to deep learning? Start with this course, that will not only introduce you to the field of deep learning but give you the opportunity to build your first deep learning model using the popular Keras library. Looking to kickstart a career in deep learning? Look no further. This [...]
0
No votes yet

Applied Deep Learning Capstone Project (edX)

Self Paced
Applied Deep Learning Capstone Project (edX)
Course Auditing
Categories
Effort
Languages
In this capstone project, you will apply your newly acquired deep learning knowledge and expertise to a real world challenge. In this capstone project, you'll use a Deep Learning library of your choice to develop, train, and test a Deep Learning model. Load and preprocess data for a real [...]
8
Average: 8 ( 3 votes )

Deep Learning with Tensorflow (edX)

Self Paced
Deep Learning with Tensorflow (edX)
Course Auditing
Categories
Effort
Languages
Much of the world's data is unstructured. Think images, sound, and textual data. Learn how to apply Deep Learning with TensorFlow to this type of data to solve real-world problems. Traditional neural networks rely on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning [...]
0
No votes yet

Using GPUs to Scale and Speed-up Deep Learning (edX)

Self Paced
Using GPUs to Scale and Speed-up Deep Learning (edX)
Course Auditing
Categories
Effort
Languages
Training complex deep learning models with large datasets takes a long time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning. Training a complex deep learning model with a very large dataset can take hours, days and occasionally [...]
1
Average: 1 ( 2 votes )