How Convolutional Neural Networks Work
Explore the inner workings of Convolutional Neural Networks, from basic concepts to advanced techniques, in this comprehensive guided tour of deep learning architecture.
The Fastest Way to Create a Coloring Book - ChatGPT, MidJourney, Amazon KDP - 5 Simple Steps
Discover how to create and publish an adult coloring book using AI tools like ChatGPT and MidJourney. Learn the entire process from research to Amazon KDP publishing in just 5 simple steps.
NeRFs- Neural Radiance Fields - Paper Explained
Explore neural radiance fields for 3D scene representation and view synthesis, covering network architecture, key concepts, learning process, and advanced techniques.
Open Source Generative AI in Question-Answering - NLP Using Python
Learn to build a generative question-answering system using open-source AI and Python. Covers architecture, data preprocessing, embedding, indexing, and querying with BART for multi-sentence answers to open-ended questions.
Vision Transformer and Its Applications
Explore vision transformers' architecture, self-attention in computer vision, and applications in recognition, segmentation, and multi-modal learning. Discover their potential for general-purpose model architectures.
Advanced VFX Simulations - Houdini Tutorial
Learn advanced VFX simulations in Houdini, covering procedural modeling, RBD tools, material fracture, and more. Master techniques for creating realistic destruction effects and dynamic visual elements.
KDD 2020: Physics Inspired Models in Artificial Intelligence
Explore the intersection of physics and AI, covering paradigms, generalization, complexity, interpretability, and physics-informed neural networks. Gain insights into the synergy between these fields.
Harnessing the Power of AI Art
Explore AI art's potential in design and animation. Learn how AI tools work, create with Midjourney, and discuss ethics and future applications in this insightful overview.
Blend Images with Reverse Engineering in Midjourney
Learn advanced image blending techniques in Midjourney v5 using reverse engineering and multiprompt methods for more creative and controllable results.
ETA Prediction with Graph Neural Networks in Google Maps - Paper Explained
Explore Graph Neural Networks for ETA prediction in Google Maps, covering graph formation, features, GNN architecture, loss functions, baselines, inference, and experimental results.
Steps to AGI
Explore DeepMind Alberta's plan for achieving AGI through reinforcement learning, continual learning, and meta-learning in complex environments, with a focus on key steps and core concepts.
AI Art Explained - How AI Generates Images
Explore the inner workings of AI image generation models like Stable Diffusion, including their components, training process, and how they transform text prompts into stunning visuals.
LLaMA- Open and Efficient Foundation Language Models - Paper Explained
Detailed explanation of Meta's LLaMA language models, covering training data, architecture, implementation, and performance. Explores how smaller models can outperform larger ones with optimized training.
Continual Learning and Catastrophic Forgetting
Explore continual learning and catastrophic forgetting in deep neural networks, covering evaluation methods and algorithms based on regularization, dynamic architectures, and Complementary Learning Systems.
Diffusion Models - PyTorch Implementation
Learn to implement and train diffusion models in PyTorch, covering unconditional and conditional versions, classifier-free guidance, and exponential moving average. Gain hands-on experience with state-of-the-art generative AI techniques.
Machine Learning + Neural Networks Live Sessions - SVM
Explore Support Vector Machines (SVM) in machine learning and neural networks, focusing on their applications and implementation techniques.
Creating a Brand Strategy for a Client Using AI
Explore AI-powered brand strategy creation, from client profiles to creative direction, enhancing your skills as a brand strategist through practical application and analysis.
What is Natural Language Processing - NLP Full Course
Comprehensive introduction to Natural Language Processing, covering key concepts, techniques, and applications using Python, with hands-on projects in sentiment analysis and chatbot development.
Building the Future with LLMs, LangChain, & Pinecone
Explore the future of AI with LLMs, LangChain, and Pinecone. Learn to build powerful applications using cutting-edge tools and techniques in this comprehensive workshop led by industry experts.
Draw Mount Fuji in Procreate
Step-by-step tutorial for drawing Mount Fuji in Procreate, covering techniques like gradients, textures, and layer blending. Learn to create a stunning digital landscape illustration.
Automatic Number Plate Recognition Using Tensorflow and EasyOCR - Python
Learn to build a real-time Automatic Number Plate Recognition system using Python, TensorFlow, and EasyOCR. Covers plate detection, OCR application, and result saving for practical implementation.