Perceiver - General Perception with Iterative Attention
Explore DeepMind's Perceiver model, a versatile architecture that processes diverse input modalities using iterative attention, solving the quadratic bottleneck problem in Transformers.
Multimodal Neurons in Artificial Neural Networks - With OpenAI Microscope, Research Paper Explained
Explore multimodal neurons in CLIP model, revealing how AI recognizes concepts across various visual representations. Gain insights into neural networks' inner workings and their ability to process diverse information.
LSTM Time Series Prediction Tutorial Using PyTorch in Python - Coronavirus Daily Cases Forecasting
Learn to forecast Coronavirus cases using LSTM and PyTorch. Covers data preprocessing, model building, training, evaluation, and future predictions with real-world time series data.
Build a Neural Network with Python Tutorial - Deep Learning with PyTorch
Learn to build, train, and evaluate a neural network for weather prediction using PyTorch. Covers data preprocessing, model architecture, GPU acceleration, and practical applications.
What Is a Neural Network? - Machine Learning for JavaScript Hackers with TensorFlow.js
Explore neural networks, perceptrons, and sigmoid neurons using TensorFlow.js. Learn about activation functions, network architecture, and weight initialization for machine learning in JavaScript.
Build a Generative Adversarial Neural Network with Tensorflow and Python - Deep Learning Projects
Learn to build a Generative Adversarial Network from scratch using Python and TensorFlow. Master data visualization, neural network construction, custom training loops, and image generation in this hands-on deep learning project.
Build a Deep Iris Detection Model Using Python and Tensorflow - Keypoint Detection
Develop an iris tracking model using keypoint detection with TensorFlow and Python. Learn data preparation, model creation, training, and real-time detection for advanced computer vision applications.
Build a Deep CNN Image Classifier with Any Images
Learn to build a custom deep CNN image classifier from scratch using Python, TensorFlow, and Keras. Covers data pipeline, preprocessing, network building, training, evaluation, and model saving.
Build a Deep Audio Classifier with Python and Tensorflow
Learn to build a deep audio classifier using Python and TensorFlow, covering data loading, preprocessing, model creation, and prediction for audio classification tasks.
Build a Deep Facial Recognition App - Building a Siamese Neural Network - Python
Learn to build a Siamese Neural Network for facial recognition using TensorFlow, including image embedding, L1 distance layer, and model integration in a Kivy app.
Implementing a Multi-Class CNN Image Classifier in Pytorch - Computer Vision Basics Ep. 3 CIFAR10 CNN
Learn to build a CNN image classifier using PyTorch and CIFAR10 dataset. Covers data loading, model architecture, training, and validation, with practical coding examples for computer vision enthusiasts.
How to Create a Neural Network and Train It to Identify Doodles
Comprehensive guide to building and training neural networks from scratch, covering key concepts and practical implementation for image recognition tasks.
Real-World Python Neural Nets Tutorial - Image Classification with CNN - Tensorflow & Keras
Learn to build and train a CNN for image classification using TensorFlow and Keras. Covers data preparation, model improvement, hyperparameter tuning, and practical applications in Python.
AutoMuse- Synopsis GAN for Self-Improving Synopsis Generators
Explore AI-powered synopsis generation using GANs and GPT-3, delving into creative writing applications, story idea generation, and the challenges of crafting compelling narratives and characters.
Introducing the RAVEN MVP - A General Purpose AI Companion - With a Live Demo
Explore RAVEN, an innovative AI companion with real-time assistance capabilities, cognitive architecture, and self-improvement features. Learn about its development, principles, and future potential in artificial intelligence.
Finetune GPT-3 to Write a Coherent Novel - Success! With Minor Bugs
Explore the process of using AI to write a novel, from generating summaries to creating full chapters, with insights on recursive neural networks and GPT-3 implementation.
Convolutional Neural Nets Explained and Implemented in Python - PyTorch
Comprehensive guide to Convolutional Neural Networks: theory, implementation, and practical applications using Python and PyTorch for computer vision tasks like image classification.
PyTorch Crash Course - Getting Started with Deep Learning
Comprehensive introduction to PyTorch, covering tensor basics, autograd, linear regression, neural networks, and CNNs. Ideal for beginners in deep learning.
Building a GAN From Scratch With PyTorch - Theory + Implementation
Learn to build a Generative Adversarial Network from scratch using PyTorch and PyTorch Lightning, covering theory, implementation, and testing in this comprehensive tutorial.
Stable Diffusion and Friends - High-Resolution Image Synthesis via Two-Stage Generative Models
Explore the evolution of generative image models with Stable Diffusion co-creator Robin Rombach, covering GANs, Transformers, and latent Diffusion models for high-resolution image synthesis and creative applications.
Run Stable Diffusion on Any Device - No PC Required
Learn to create AI images using Stable Diffusion on rented remote computers. Step-by-step guide for setup, installation, and using ControlNet for AI animations without expensive hardware.