Neural Networks Demystified
In this short series, we will build and train a complete Artificial Neural Network in python.
Neural Networks from Scratch in Python
Build and understand neural networks from the ground up, covering key concepts like neurons, layers, activation functions, and loss calculation in Python.
Neural Networks
This playlist has everything you need to know about Neural Networks, from the basics, all the way to image classification with Convolutional Neural Networks.
Pattern Recognition and Application
This course covers feature extraction techniques and the representation of patterns in feature space. Measure of similarity between two patterns. Statistical, nonparametric and neural network techniques for pattern recognition have been discussed in this…
Pattern Recognition
Comprehensive exploration of statistical pattern recognition, covering Bayes classifiers, density estimation, linear discriminants, neural networks, SVMs, and advanced learning techniques.
Deep Learning
Comprehensive exploration of deep learning concepts, from feature descriptors to advanced neural networks, covering theory and practical applications in computer vision and generative models.
Pattern Recognition
This course provides a fairly comprehensive view of the fundamentals of pattern classification and regression. Topics covered in the lectures include an overview of pattern classification and regression; Bayesian decision making and Bayes classifier
Fundamentals of Artificial Intelligence
Comprehensive exploration of AI concepts, from problem-solving and search algorithms to knowledge representation, reasoning, planning, decision-making, and various machine learning techniques.
Applied Natural Language Processing
Explore natural language processing techniques, from corpus operations to advanced neural networks, for applications in machine translation, topic modeling, and conversation systems.
Machine Learning
The course places machine learning in its context within AI and gives an introduction to the most important core techniques such as decision tree-based inductive learning, inductive logic programming, reinforcement learning and deep learning through deci…
Natural Language Processing
Accelerated introduction to NLP, covering machine learning basics, text preprocessing, vectorization, and advanced neural network architectures like RNNs, LSTMs, and Transformers.
Computer Vision
Explore machine learning and computer vision fundamentals, advanced neural network architectures, and applications in object detection and semantic segmentation.
NVIDIA Jetson Xavier NX Machine Learning Tutorials
Comprehensive tutorials on NVIDIA Jetson Xavier NX, covering setup, camera integration, object tracking, and face recognition. Ideal for beginners and advanced users in machine learning and computer vision.
Complex Time - Cognitive Regime Shift II - When-Why-How the Brain Breaks
Exploring brain function loss through complexity science, from cellular to cognitive levels, discussing indicators, mechanisms, and analytical approaches for understanding aging and diseased brains.
Harnessing Chaos and Predicting the Unpredictable with Artificial Intelligence
Explore how Reservoir Computing and AI can predict chaotic systems like weather and brain dynamics, pushing beyond traditional forecasting limits and combining knowledge-free and knowledge-based approaches.
Stochastic Learning Dynamics and Generalization in Neural Networks
Explore stochastic learning dynamics and generalization in neural networks, uncovering key insights into their behavior and performance in various applications.
Liquid and Solid Brains - Mapping the Cognition Space
Explore the fascinating comparison between liquid and solid brains, delving into cognitive processes and mapping the intricate landscape of cognition with Ricard Solé.
Data Art and the Future of Science Communication
Explore data art's role in science communication with Kirell Benzi. Learn how visual representation enhances understanding, bridges disciplines, and shapes the future of scientific dissemination.
Swimming Without a Lifeguard in the Ocean of Ideas - Abstraction and Unsupervised Deep Learning
Explore unsupervised deep learning techniques for discovering hierarchical latent feature spaces, improving interpretability and performance in downstream tasks, and bridging neural and symbolic learning systems.
Towards Machines That Can Understand, Reason, and Plan
Explore AI's future with Yann LeCun as he discusses advancements in machine understanding, reasoning, and planning, offering insights into the potential of artificial intelligence.
The Neuroscience and Philosophy of Curious Minds - Exploring Curiosity as a Network Phenomenon
Exploring curiosity as a networked phenomenon, bridging neuroscience and philosophy to reframe how we understand desire, wonder, and discovery in both the brain and society.