Page 2 - 50+ Top Aleksa Gordić - The AI Epiphany Online Courses [2024]

POET - Paired Open-Ended Trailblazer - Paper Explained

Tensor Programs - Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

VOS - Learning What You Don't Know By Virtual Outlier Synthesis

ConvNeXt- A ConvNet for the 2020s - Paper Explained

Machine Learning with Flax - From Zero to Hero

A Neural Network Solves and Generates Mathematics Problems by Program Synthesis - Paper Explained

OpenAI GLIDE - Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Efficient Geometry-Aware 3D Generative Adversarial Networks - GAN Paper Explained

Neural Descriptor Fields- SE(3)-Equivariant Object Representations for Manipulation Paper Explained

Coding a Neural Network from Scratch in Pure JAX - Machine Learning with JAX - Tutorial 3

Machine Learning with JAX - From Hero to HeroPro+

The Sensory Neuron as a Transformer - Permutation-Invariant Neural Networks for Reinforcement Learning - Paper Explained

Neural Search with Jina AI - Open-Source ML Tool Explained

Do Vision Transformers See Like Convolutional Neural Networks - Paper Explained

Emerging Properties in Self-Supervised Vision Transformers - Paper Explained

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Aleksa Gordić - The AI Epiphany Courses

POET - Paired Open-Ended Trailblazer - Paper Explained

Tensor Programs - Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

VOS - Learning What You Don't Know By Virtual Outlier Synthesis

ConvNeXt- A ConvNet for the 2020s - Paper Explained

Machine Learning with Flax - From Zero to Hero

A Neural Network Solves and Generates Mathematics Problems by Program Synthesis - Paper Explained

OpenAI GLIDE - Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Efficient Geometry-Aware 3D Generative Adversarial Networks - GAN Paper Explained

Neural Descriptor Fields- SE(3)-Equivariant Object Representations for Manipulation Paper Explained

Coding a Neural Network from Scratch in Pure JAX - Machine Learning with JAX - Tutorial 3

Machine Learning with JAX - From Hero to HeroPro+

The Sensory Neuron as a Transformer - Permutation-Invariant Neural Networks for Reinforcement Learning - Paper Explained

Neural Search with Jina AI - Open-Source ML Tool Explained

Do Vision Transformers See Like Convolutional Neural Networks - Paper Explained

Emerging Properties in Self-Supervised Vision Transformers - Paper Explained

Aleksa Gordić - The AI Epiphany Courses

POET - Paired Open-Ended Trailblazer - Paper Explained

Tensor Programs - Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

VOS - Learning What You Don't Know By Virtual Outlier Synthesis

ConvNeXt- A ConvNet for the 2020s - Paper Explained

Machine Learning with Flax - From Zero to Hero

A Neural Network Solves and Generates Mathematics Problems by Program Synthesis - Paper Explained

OpenAI GLIDE - Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Efficient Geometry-Aware 3D Generative Adversarial Networks - GAN Paper Explained

Neural Descriptor Fields- SE(3)-Equivariant Object Representations for Manipulation Paper Explained

Coding a Neural Network from Scratch in Pure JAX - Machine Learning with JAX - Tutorial 3

Machine Learning with JAX - From Hero to HeroPro+

The Sensory Neuron as a Transformer - Permutation-Invariant Neural Networks for Reinforcement Learning - Paper Explained

Neural Search with Jina AI - Open-Source ML Tool Explained

Do Vision Transformers See Like Convolutional Neural Networks - Paper Explained

Emerging Properties in Self-Supervised Vision Transformers - Paper Explained