Deep Learning
8 weeks intensive
Welcome to Limitless Learning, where the sky is the limit. Our Courses are fully remote, so you can learn anywhere
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Do you want to become a learner? Please read the information and then fill out the registration form below.
What is it?
For 8 intensive weeks, Embark on a deep dive into the world of neural networks and their profound applications. This course is tailored for individuals looking to grasp the concepts of deep learning and harness its power for complex tasks and projects. During the course, we will discover how deep learning is applied on different data types. You will build models, train them and deploy them on a small web application.
What are the course objectives?
Provide a comprehensive understanding of neural network architectures and their dynamics.
Offer hands-on experience in training and tuning deep learning models.
Illuminate the use-cases of deep learning across diverse industries and domains.
Promote research-oriented thinking, enabling students to innovate using deep learning.
Prerequisites
Building on the foundation of our advanced machine learning course, the deep learning segment requires knowledge of machine learning modeling. The students will use the Python programming language on Google Colaboratory. Experience with deep learning frameworks like TensorFlow or Pytorch will be advantageous.
What is the course schedule?
The course spans 8 weeks with +4hrs of engaging content per week, including lectures, hands-on labs, and interactive sessions. Students will also have tasks and assignments during each week to which they need to assign a minimum of 15 hrs a week.
Fully online
Duration: 120 min per session
Recurrence: x2 a week
Time: 19h - 21h GM+1
How much does it cost?
34,900 DZD or $350
Payment through CCP, credit/debit card or PayPal (see more details here)
At the end of the training, students will receive a Limitless Learning certificate of completion.
Who is the Instructor?
Dr. Hadjer Benmeziane is an IBM research postdoc in Switzerland
She received her Master's and Engineering degrees in Computer Science at the Higher National School of Computer Science, Algiers, Algeria, in 2020.
She recently defended her Ph.D. in Hardware-aware Neural Architecture Search at the University Polytechnic Hauts-de-France, LAMIH/CNRS, Valenciennes, France.
Her goal is to offer tools for everyone to use deep learning on any low-power platform. In 2018, she founded School of AI Algiers, a community of Algerian AI enthusiast that organize events and workshops and promotes AI education.
Projects & Hands-ons
Hands-on 1: Your First Deep Neural Network
Project 1: Handwritten Digit Recognition using Feedforward Neural Networks
Hands-on 2: Discover the convolution & Visualize Feature maps
Hands-on 3: Initialization Importance
Hands-on 4: Transfer learning & fine-tuning
Project 2: Style transfer application
Hands-on 5: Analyze sequence data
Hands-on 6: Vanishing and Exploding Gradients
Project 3: Stock Price Prediction using Sequence Models
Hands-on 7: What about Texts ?
Hands-on 8: Sequence-to-sequence models
Hands-on 9: Self-attention
Project 4: Text summarization using pre-trained models
Hands-on 10: Build an auto-encoder
Hands-on 11: Create a simple GAN to generate synthetic data resembling a given distribution
Project 5: Colourizing Black and White Images using GANs