Introduction to Deep Learning for Computer Vision

What will you learn?

After the training, you will be able to:

• Understand Deep Learning from the ground up: What are neural networks, how do they learn, and how can I optimize them for my task?
• Learn today, apply tomorrow: Learn to build your own neural networks in Python using Tensorflow/Keras.
• Build upon others: Finetune existing models and understand how you can use Transfer Learning to boost your model performance.
• Computer Vision Fundamentals: Understand the power of convolutions for automatic feature extraction and construct convolutional neural networks for image classification.
• Learn Best Practices: Ensure your model trains optimally by using data augmentations, memory-efficient training, fast data input pipelines, and optimized model architectures.

Program

DAY 1

• Introduction: The rise of Deep Learning, its benefits, and current-day applications.
• Understand Neural networks from the ground up: From single neurons to neural networks
• The Learning in Deep Learning: (Stochastic) Gradient Descent and backpropagation.
• Fundamental components of Neural Networks: From loss functions and neuron activations to normalization- to dropout layers.
• Code it yourself: Build and optimize your first Deep Learning model in Python using Tensorflow/Keras.
  
  DAY 2
• Introduction to Deep Learning for Computer Vision: Why neural networks are state-of-the-art for computer vision tasks.
• The Cornerstone of Computer Vision: Understand the function and implementation of convolutions in deep neural networks.
• Hands-on: Build your own Convolutional Neural Network (CNN) for image classification
• Learn Best Practices: Implement data augmentations, optimize networks architectures, and speed up training using smart data input pipelines.
• Build upon others: Use existing Computer Vision models, apply transfer learning and finetune them to your specific task.

This training is for you if:

• You want to understand Deep Learning for Computer Vision from the ground up.
• You want an in-depth understanding of modern Computer Vision AI and its applications.
• You work with Computer Vision data such as images and videos and want to use AI for your use case.
• You already have a basic understanding of Machine Learning concepts and want to push your skills to the next level.

This training is not for you if:

• You are looking for a non-technical introduction to Computer Vision AI.
• You have no experience in programming.
• You only want apply Computer Vision AI, rather than knowing how it works.
• You already have a good understanding of Deep Learning or Computer Vision and you look for an advanced training or specific application of Computer Vision AI.

Why should I follow this training?

• You want to get into the field of AI, but are specifically interested in Computer Vision applications.
• You not only want in-depth explanations, but also hands-on practice.
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  Our motto: Learn today, apply tomorrow!
• You have a specific use case where Computer Vision AI may be the solution?
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  This course is the ideal starting point!

What else should I know?

After registering for this training, you will receive a confirmation email with practical information. A week before the training, we will ask you about any dietary requirements and share literature if you need to prepare.

Training information

• All literature and course materials are included in the price. 
• Information on the software and tooling will be shared before the start date.
• This is a technical course involving some extent of programming. You will need a laptop.
• Online courses are delivered via Zoom or Microsoft Teams.

See you soon!