edX
MOOC / Non-credit
0
Deep Learning
About this course
"Deep Learning" gives an overview of the basic types of neural networks and how to train them. Starting with Multi-Layer Perceptrons (MLPs), the course covers the most important training tricks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), as well as Transformers, and gives an outlook on effective training and efficient fine-tuning of large multi-modal models.
A
82/100
CourseAsk score
- What the provider tells you
- 31/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understand the different types of neural networks
- apply training techniques for effective learning
- utilize Convolutional and Recurrent Neural Networks
- gain familiarity with Transformers and their applications
Course objectives
- provide an overview of neural networks
- teach effective training methods
- explain the components of deep learning models
Deep Learning
#deep learning
#artificial intelligence
#machine learning
#fine-tuning
#transformers
#neural networks
#model training
#cnn
#rnn
#mlp
$99.00
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