Artificial Intelligence Products and Courses

Unlock the Future : Dive into AI Today! Videnda AI specializes in developing advanced artificial intelligence solutions, including visual dictionaries and language learning tools that leverage immersive virtual travel experiences. Stay Ahead of the Curve: Master AI Now! Our AI technology integrates machine learning and neural networks to enhance education and business applications. AI: The Next Frontier. Are You Ready to Explore? With a focus on real-time AI solutions and deep learning models, Videnda AI provides innovative tools for multilingual communication and immersive learning.

In this course, you'll find a series of engaging videos packed with vibrant animations that break down complex AI concepts into digestible pieces. Our curriculum covers AI models such as Convolutional Neural Networks (CNN), Multi-Layer Perceptrons (MLP), Generative Adversarial Networks (GAN), and Transformers, providing a solid understanding of these models and their real-world applications. We also offer hands-on experience with Generative AI tools like ChatGPT and Midjourney, and Python programming tutorials to help you implement AI algorithms and build your own AI applications.

We are proud participants in the Nvidia Inception Program, driving AI innovation across various industries. By the end of our course, you'll have a strong understanding of AI principles, enhanced Python programming skills, and practical experience with state-of-the-art Generative AI tools. Whether you're looking to kickstart a career in AI or simply curious about this revolutionary technology, Videnda AI is your partner in mastering the future of artificial intelligence.

Artificial Intelligence Course

Engaging videos packed with vibrant animations that break down complex AI concepts into digestible pieces.

Our curriculum covers AI models such as Convolutional Neural Networks (CNN), Multi-Layer Perceptrons (MLP), Generative Adversarial Networks (GAN), and Transformers

Visual Dictionaires

Learn Languages Italian, Portuguese, English, French, Spanish, Chinese, Pinyin, German, Greek, Hindi, Russian, Ukrainian, Visual and Bilingual

1600 ChatGPT prompts

Learn the art and science of creating effective prompts for ChatGPT.
A vast collection of questions designed to stimulate and expand your thinking..

TypeScript Course

See TypeScript in action and run the source code on your computer The Source code is attached. Learn TypeScript, Paint, Draw and Enjoy!

Android AI Course

Learn Artidicial Intelligence from your Android Phone. Just download the application

Python Course

See Python in action and run the source code on your computer Learn to Paint in Python by creating animation with geometrical objects Draw Circles, Ellipses, and Spiral in JavaScript with source code

50+ Books on Amazon

Travel into a virtual world and learn a new language on the road (Visual Dictionaries Collection) The Images were collected in the last 10 years during our travels.

Generate 100 Images

Register and create 100 images with AI using the prompt "Generate an image that ...".

Java Course

See Java in action and run the source code on your computer The Source code is attached. Learn Java, Paint, Draw and Enjoy!

JavaScript Course

See JavaScript in action and run the source code on your computer. Learn to Paint in JavaScript by creating animation with geometrical objects. Draw Circles, Ellipses, and Spiral in JavaScript and HTML with source code

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Artificial Intelligence

What is the Difference between Symbolic AI and Deep Learning?

The first Lesson "Introduction to Artificial Intelligence: From Ancient Secrets to Cosmic Quests, Unraveling the Tapestry of Algorithms and AI" provides a comprehensive overview of AI's evolution, its impact, and various analogies to demystify complex concepts. It highlights historical and modern examples to illustrate the importance and power of knowledge, algorithms, and AI in shaping societies and industries.

Key Points

1. The Venetian Secret:

- Venetian glassmaking on Murano island was renowned for its clarity and durability, protected by a secret recipe.

- The Venetian Republic took extreme measures to safeguard this knowledge, even resorting to execution of defectors.

- This historical example underscores the value and power of proprietary knowledge.

2. Understanding Algorithms and AI through Cooking:

- Algorithms and AI can be understood by drawing parallels with cooking.

- Ingredients represent input data, instructions are the algorithms, and the final dish is the output.

- This analogy simplifies the concepts, making them more accessible to the general public.

3. From Ancient Roman Roads to Stellar Journeys:

- The Via Appia, built using a secret Roman concrete recipe, illustrates the impact of guarded knowledge.

- AI today holds the potential to rediscover such lost knowledge and propel humanity towards future cosmic exploration.

- AI can lead humanity's endeavors beyond Earth, ensuring the continuity of human knowledge and life.

4. Expert Systems and Decision Trees:

- Expert systems emulate human decision-making through predefined rules, exemplified by medical diagnostic decision trees.

- They provide consistent and structured guidance but are limited by their predefined knowledge base.

- These systems highlight the foundational aspects of AI that paved the way for more advanced technologies.

5. Deep Learning Diagnostics in Healthcare:

- Deep learning algorithms analyze vast amounts of medical images, learning to detect subtle anomalies.

- AI systems assist doctors by providing preliminary diagnoses and highlighting potential areas of concern.

- This integration enhances early detection and patient care, significantly improving treatment outcomes.

Conclusion

The first lesson emphasizes the timeless value of specialized knowledge and its role in driving economic and technological advancements. By drawing historical parallels and using relatable analogies, it makes complex AI concepts more understandable. The transformative power of AI, especially in fields like healthcare, showcases its potential to enhance human capabilities and improve lives.

Artificial Intelligence

Mastering the Multilayer Perceptron (MLP): A Deep Dive into 3-Class Classification with TensorFlow and Keras

The Lesson "Mastering the Multilayer Perceptron (MLP): A Deep Dive into 3-Class Classification with TensorFlow and Keras " provides a comprehensive guide to understanding and implementing a multilayer perceptron (MLP) for 3-class classification using TensorFlow and Keras. It details the process from data preparation to model evaluation and visualization, using the iris dataset as an example.

Key Points

1. Overview of Multilayer Perceptron (MLP):

- MLP is an artificial neural network composed of multiple layers of nodes in a directed graph, fully connected from one layer to the next.

- It typically includes an input layer, one or more hidden layers, and an output layer.

- MLP adjusts network weights during training to enhance prediction or classification accuracy.

2. Data and Libraries:

- The example uses the iris dataset, which contains 150 samples from three iris species: setosa, virginica, and versicolor.

- Four features are measured: sepal length, sepal width, petal length, and petal width.

- Essential libraries include TensorFlow, Keras, scikit-learn, and seaborn for data handling, model building, and visualization.

3. Data Preparation:

- The dataset is pre-processed and split into training and test sets.

- Labels are converted into one-hot encoded variables for ease of use in the model.

- Example: Labels 0, 1, and 2 are converted to one-hot encoded vectors.

4. Model Definition and Training:

- An MLP model is defined with one hidden layer of eight nodes and an output layer of three nodes (corresponding to the three classes).

- The model is compiled and trained on the training data.

- Model performance is evaluated on the test data, and accuracy is printed.

5. Visualization:

- The internal structure of the model and the classification results are visualized using 3D charts.

- The visualization distinguishes between original data points and new data points computed by the model.

6. Libraries Installation:

- The document provides installation commands for necessary libraries:

- pip install scikit-learn

- pip install tensorflow

- pip install seaborn

7. Further Learning:

- Additional lessons and Python code are available for download, allowing users to explore more advanced topics and animations related to AI and deep learning.

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Our aim is to provide clear, concise, and comprehensive answers to ensure your shopping experience is smooth and satisfying. Should you have any additional questions, our dedicated customer service team is always ready to assist you.

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Why This AI Course Stands Out

1. Comprehensive Coverage:

- Our course offers an extensive range of topics, from basic AI concepts to advanced techniques in machine learning and deep learning. This ensures a well-rounded understanding of AI, unlike many other courses that may focus narrowly on specific areas.

2. Practical, Hands-On Approach:

- We emphasize practical learning with numerous hands-on exercises using real datasets. Participants will gain experience with popular AI tools and libraries such as TensorFlow, Keras, and scikit-learn, making them industry-ready.

3. Historical and Modern Context:

- Our course not only covers modern AI techniques but also provides historical context, helping learners understand the evolution of AI and its foundational principles.

4. Expert-Led Instruction:

- The course is designed and delivered by industry experts and experienced educators who bring a wealth of knowledge and practical insights to the learning experience.

5. Resource-Rich Learning:

- Participants receive a wealth of resources, including detailed lecture notes, source code, datasets, and links to further readings. This comprehensive resource library supports in-depth learning and exploration beyond the course.

By combining depth, practical skills, expert guidance, and comprehensive resources, our AI course ensures a superior learning experience that equips participants with the knowledge and skills needed to excel in the rapidly evolving field of artificial intelligence.

What is this AI course about?

This AI course provides a comprehensive introduction to artificial intelligence, covering essential concepts, techniques, and algorithms. It spans historical contexts, modern applications, and practical implementations using tools like TensorFlow and Keras.

Who is this course for?

The course is designed for anyone interested in learning about AI, including students, professionals, and enthusiasts. Prior knowledge of basic programming and mathematics is helpful but not required.

What topics are covered in the course?

The course covers a wide range of topics including:

- Basics of AI and machine learning

- Supervised and unsupervised learning

- Neural networks and deep learning

- Reinforcement learning

- Practical applications using TensorFlow and Keras

- Evaluation metrics and model performance

What are some key learning outcomes?

By the end of the course, participants will be able to:

- Understand and implement various AI and machine learning algorithms

- Preprocess data and select appropriate features for modeling

- Build, train, and evaluate neural networks using TensorFlow and Keras

- Apply reinforcement learning techniques to real-world problems

- Interpret and improve model performance using evaluation metrics

How is the course structured?

The course is divided into multiple lessons, each focusing on specific AI concepts and techniques. Each lesson includes theoretical explanations, practical examples, and hands-on coding exercises.

How can I access the course materials?

Course materials, including lecture notes and source code, are available for download through the course platform. Specific links and resources are provided within each lesson.

About Us

We develop cutting-edge artificial intelligence and programming language courses, applications, books, and visual dictionaries.
Our mission is to empower individuals and organizations with the knowledge and tools they need to excel in the rapidly evolving fields of AI and programming. Whether you are a beginner eager to learn the basics or a professional looking to deepen your expertise, we offer a range of resources designed to meet your needs.

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