Deep Learning
Deep learning is at the heart of many revolutionary innovations in various sectors, from medical diagnosis to facial recognition. With the rise of Big Data, mastering deep learning techniques has become an essential asset for any data professional. Dive into this fascinating universe with our Deep Learning Introduction Training and learn how to turn huge volumes of data into valuable insights.
Learn more
The job & training DataKoo Training
Mission
Navigating the vast ocean of modern technologies requires specific skills, especially when delving into areas like deep learning.
This technology has not only redefined the boundaries of what is possible but has also set a new standard for innovation, from creating virtual assistants with human-like understanding capabilities to implementing autonomous vehicles capable of making real-time decisions.
In response to this imperative, DataKoo Training stands as a pillar in the field of technological education. Our mission is not merely to introduce you to deep learning but to transform you into a proficient participant in this revolution. We have carefully crafted our program to be both robust in theoretical content and enriching in practical experience.
Our team of instructors consists of professionals who have worked on real-world deep learning projects. They bring not only knowledge but also anecdotes, mistakes, successes, and lessons learned from the field. This unique blend of theoretical expertise and practical experience allows DataKoo Training to offer training that goes beyond textbooks and tutorials.
Ultimately, our goal at DataKoo Training is clear: to equip you with the necessary skills not only to understand deep learning but also to apply it innovatively, ethically, and effectively in your professional domain.
Learn more
đź“š Course content
Basic principles of deep learning
Dive into Python, R and SQL, decrypting relational and NoSQL databases to extract essential information.
RĂ©seaux de neurones et architectures
Translate data into impactful stories with Tableau and Power BI, making every analysis visually compelling.
Frameworks and tools
From regression to neural networks, navigate through advanced techniques to discover hidden patterns.
Model Optimization
Link your analytics to the business impact, aligning each discovery with the company’s overall strategy.
Transfer Learning and Pre-Trained Models
Leverage AWS, Azure and GCP to manipulate huge datasets, preparing for the future of data.
Practical Applications
Affûtez votre esprit pour aborder les défis des données avec une pensée critique, transformant l'ambiguïté en clarté.
The job in a few figures
attractive salaries
10000
€
In France, a deep learning specialist can expect an annual salary of between €50,000 and €90,000, depending on experience and location.
rising demand
0
%
By 2025, it is estimated that 40% of European companies will have adopted deep learning in at least one segment of their operations.
A changing market
0
Mrd
According to a recent study, the global deep learning market is expected to reach $18.16 billion by 2023.
Format & Prerequisites
1 day format
Introduction to Deep Learning and its importance Introducing Keras and TensorFlow Design of a simple convolutional neural network Introduction to LSTM networks for time series
2 day format
Day 1:
Introduction to Deep Learning
Overview of Keras and TensorFlow
Convolutional neural networks: from basics to practice
Scraping images from Google Cloud
Day 2:
Optimization of neural network parameters
LSTM Networks: Introduction and Applications
Maintain state in LSTM for long sequences
Exploring pre-trained networks and their use
4 day format
Day 1:
Introduction to Deep Learning: Context and Importance
Start with Keras and TensorFlow
Simple convolutional neural network design
Day 2:
Scraping images from Google Cloud
CNN performance optimization and improvement
Introduction to Pre-trained Networks
Day 3:
Introduction to time series and importance of LSTM
LSTM networks for predicting time series as regression
LSTM networks with feature windows
Day 4:
Advanced techniques for LSTM
State preservation in LSTM for long sequences
Practical projects and real applications of Deep Learning.
Prerequisite
Good command of Python programming. Basic notions in mathematics (linear algebra, probability). Basic understanding of neural networks.
LEARN MORE
đź—“ Schedule Your Consultation!
Do you have questions? Do you want to learn more about our courses or discuss a specific project? Schedule a personalized session with our team.
We look forward to collaborating with you and assisting you on your learning journey with Datakoo Training.
🚀 Why Choose Datakoo Training's Course?
proven expertise
Our trainers, with years of experience in the field, combine solid theory and proven practice to offer high-level teaching.
innovative pedagogy
The training is structured around interactive pedagogical approaches, combining real-life case studies, practical workshops, and tutoring sessions, to ensure a deep and applied understanding of the concepts.
market relevance
Designed to meet today’s business needs, our training specifically prepares you for the real challenges of the data world, making you immediately operational.
ongoing support
At Datakoo, your learning goes beyond training. We value lifelong learning and are here to answer your questions in a professional context. Get post-training support and regular updates on our platform. With Datakoo, you have a constant ally in your professional progression.
Do you want to take your skills to the next level today?
Discover the future of data training. With Datakoo, every lesson is an opportunity, every module a step towards excellence. You have the potential; we have the tools. Start your transformation today!