Understanding Video Object Segmentation - Behind the Scenes
Explore video object segmentation techniques, including refinement and propagation networks, with insights into Runway's Green Screen tool for real-time video editing.
BigGAN and Other Generative Models
Explore BigGAN and BigBiGAN generative models, their functionality in RunwayML, and learn about image reconstruction techniques in this informative video on advanced AI-powered image generation.
Building a Neural Network with PyTorch - Coding Challenge
Learn to build a neural network using PyTorch in a fast-paced, 15-minute coding challenge. Follow along as the instructor attempts this task for the first time, offering insights and practical tips.
TensorFlow Tutorial - Model Subclassing with Keras - Part 8
Learn to build flexible TensorFlow models using Keras subclassing, including a ResNet-like model with skip connections. Gain advanced model creation skills beyond Sequential and Functional APIs.
Pytorch Text Generator With Character Level LSTM
Learn to build a character-level LSTM text generator in PyTorch, focusing on generating new baby names. Explore practical implementation of RNNs for creative text generation tasks.
Neural Network from Scratch - Machine Learning Python
Implement a neural network using Python and numpy, focusing on the coding aspects while building upon previously explained mathematical concepts.
PyTorch GoogLeNet - InceptionNet Implementation from Scratch
Learn to implement GoogLeNet/InceptionNet from scratch in PyTorch, with explanations of network architecture and step-by-step coding guidance.
Neural Network from Scratch with Python - Part 4
Implement a neural network using Numpy, learning to build deep learning models from the ground up without relying on high-level frameworks.
Stable Diffusion 2.0 Fine-Tuning with DreamBooth on Free Colab
Fine-tune Stable Diffusion 2.0 with DreamBooth on free Google Colab. Create custom AI avatars and profile pictures. Learn data collection, processing, model training, inference, and conversion for Automatic1111 compatibility.
Unsupervised Learning for Stellar Spectra with Deep Normalizing Flows - Jo Ciuca
Explore unsupervised machine learning techniques for analyzing stellar spectra using deep normalizing flows, with applications in galaxy evolution and big data astronomy.
ESRGAN Implementation From Scratch
Learn to implement ESRGAN, an advanced image super-resolution technique, from scratch. Gain hands-on experience in deep learning and computer vision through step-by-step coding.
PyTorch Sequential Models - Neural Networks Made Easy
Learn to build neural networks using PyTorch's Sequential class. Explore multiple ways to construct models, set random seeds for reproducibility, and understand the benefits of this approach for creating efficient deep learning architectures.
Deep Learning Revolution: Turing Award Lecture by Geoffrey Hinton and Yann LeCun
Pioneers of deep learning discuss breakthroughs, applications, and future prospects of neural networks in AI, from handwriting recognition to medical imaging and autonomous vehicles.
A Roadmap for Reverse-Architecting the Brain’s Neocortex
Explore a roadmap for reverse-engineering the neocortex, from biological observations to computational primitives and functional building blocks, towards developing biologically plausible neural networks for unsupervised learning.
ABY3 - A Mixed Protocol Framework for Machine Learning
Explore privacy-preserving machine learning with ABY3, a framework addressing data collection concerns through encrypted computations and secure multi-party protocols.
Secure Outsourced Matrix Computation and Application to Neural Networks
Explore practical solutions for encrypted matrix operations in homomorphic encryption, including novel encoding methods and efficient evaluation strategies for basic matrix arithmetic and neural networks.
Flicker-Free Animations - Stable Diffusion, EBSynth & ControlNet
Learn techniques for creating smooth, flicker-free animations using Stable Diffusion, EBSynth, and ControlNet. Master frame extraction, keyframe selection, image processing, and advanced compositing for professional-quality results.
Will Computers Ever Think Like Human Beings? - With Vint Cerf
Explore the challenges of creating human-like artificial intelligence with Internet pioneer Vint Cerf. Delve into neural networks, image classification, and the complexities of replicating human reasoning in computer systems.
AI, Deep Learning, and Machine Learning - A Primer
Comprehensive overview of AI's evolution, current state, and future potential, exploring neural networks, deep learning applications, and their impact on various industries and human capabilities.
Neural Nets for NLP 2021 - Distributional Semantics and Word Vectors
Explore distributional semantics and word vectors in NLP, covering techniques like skip-grams, CBOW, and advanced methods. Learn to evaluate, visualize, and apply word embeddings effectively.
Neural Nets for NLP 2021 - Conditioned Generation
Explore encoder-decoder models, conditional generation, search techniques, ensembling, evaluation methods, and various data types for conditioning in neural network-based natural language processing.