Understanding the Reparameterization Trick in Variational Autoencoders
Explore the intricacies of Variational Autoencoders (VAEs) and the pivotal role of the reparameterization trick in their training process. Learn how this ing...
- Python3 7
- Deep Learning 6
- Fourier Transform 4
- MRI 4
- AI 4
- Generative Models 3
- Complex Numbers 3
- Machine Learning 3
- virtual environments 2
- Training 2
- TensorFlow 2
- Conda 2
- 3D Visualization 2
- Motion Capture 2
- Animation 2
- High FPS 3D plotting 2
- Coding in MRI 2
- Transformers 2
- Causal Attention 2
- Self-Attention 2
- Anaconda 1
- miniconda3 1
- vs code 1
- pycharm 1
- Python 1
- Apache2 1
- Django 1
- Django3 1
- mod_wsgi 1
- screen resolution 1
- ubuntu 20.04 1
- xrandr 1
- xorg.conf 1
- Pytorch 1
- Dataset 1
- DataLoader 1
- Keras 1
- ImageDataGenerator 1
- photometric stereo 1
- lambertian 1
- 3D reconstruction 1
- Image Stitching 1
- Homography 1
- Featue Matching 1
- Transfer Learning 1
- Model Efficiency 1
- Optimization 1
- Fast Inference 1
- Data storage 1
- Linux administration 1
- Neural Data 1
- PCA 1
- Dimensionality Reduction 1
- Neural Modes 1
- Neural Manifolds 1
- Probability Theory 1
- Computational Neuroethology 1
- Experimental Design 1
- Data Analysis 1
- Neural Systems Modeling 1
- PyVista 1
- Math for AI 1
- VAE 1
- Variational Autoencoder 1
- MR Physics 1
- Rotations 1
- Signal Decomposition 1
- Discrete Fourier Transform 1
- Phasors 1
- Image Processing 1
- Spatial Frequencies 1
- K-space 1
- Gradient Fields 1
- Spin Magnetic Moments 1
- Image Reconstruction 1
- Medical Imaging 1
- GPU 1
- CUDA 1
- cuDNN 1
- Linux 1
- WSL2 1
- WSL 1
- GPT 1
- Attention Mechanism 1
- Multi-Head Attention 1
- LLaMA 1
- Model Loading 1
- Hugging Face 1
- REINFORCE 1
- Policy Gradients 1
- Monte Carlo Methods 1
- Stochastic Gradient Ascent 1
- Reinforcement Learning 1
Python3
Visualizing and Animating 3D Motion Capture Data with PyVista
A comprehensive Python tutorial on visualizing and animating 3D motion capture data using PyVista with high frame rate.
Knowledge Distillation: An Overview
Brief Intro to the Knowledge Distillation appraoch in Deep Learning
Image Stitching: Combining multiple images of an overlapping scene
Python tutorial for detecting features and computing homography using RANSAC algorithms from scratch
Photometric Stereo: estimating surface normals and albedo
Python tutorial to perform Photometric stereo for a lambertian case
Code editors and IDEs for Python
The python set up with visual studio code and pycharm for development environment
Python, conda and virtual environments
The python set up with conda and virtual environments explained
Deep Learning
Policy Optimization with REINFORCE: A Deep Dive into Policy Gradients and related concepts
Discover how the REINFORCE algorithm leverages policy gradients, the log-trick, and Monte Carlo sampling to optimize decision-making in reinforcement learnin...
Taming the LLaMA: A Guide to Herding LLaMA 3.1 with Hugging Face
Exploring the different methods to load and work with the LLaMA 3.1 model using Hugging Face’s APIs and Meta’s original implementation. Learn which approach ...
GPT model Causal Multi-Head Attention Mechanism: Pure and Simple
How does the multi-head attention mechanism work in transformers? Let’s break it down step-by-step, starting from the input sequence and moving through the e...
Getting TensorFlow to Work with GPU in Conda Environment on Linux or WSL
Guide to set-up TensorFlow to use GPU in a Conda environment.Follow these steps to ensure TensorFlow leverages CUDA and cuDNN installed in your Conda environ...
Different ways to load custom dataset in TensorFlow 2 for classification
Tensorflow2: preparing and loading custom datasets
Working with custom datasets in PyTorch
Pytorch dataloader tutorial for custom datasets where both inputs and labels are images
Fourier Transform
Navigating K-space in MRI: The Role of Gradient Fields
Exploring the crucial role of gradient fields in MRI for stepping through K-space.
2D Fourier Transform and Complex Numbers in MR Physics
Dive deep into the role of complex numbers and Fourier Transform in Magnetic Resonance Imaging (MRI), featuring practical coding examples and a detailed anal...
1D Fourier Transform: A Visual Guide for Decoding Signals with Complex Numbers
An in-depth exploration of Fourier Transform and complex numbers in MRI. Understand the critical role these concepts play in signal processing and MR imaging...
Complex Numbers and Rotations: A Primer to Fourier Transform and MR Physics and Simulation
Exploring of complex numbers and their role in Fourier Transform and Magnetic Resonance Physics with code. This guide elucidates the mathematical foundations...
MRI
Navigating K-space in MRI: The Role of Gradient Fields
Exploring the crucial role of gradient fields in MRI for stepping through K-space.
2D Fourier Transform and Complex Numbers in MR Physics
Dive deep into the role of complex numbers and Fourier Transform in Magnetic Resonance Imaging (MRI), featuring practical coding examples and a detailed anal...
1D Fourier Transform: A Visual Guide for Decoding Signals with Complex Numbers
An in-depth exploration of Fourier Transform and complex numbers in MRI. Understand the critical role these concepts play in signal processing and MR imaging...
Complex Numbers and Rotations: A Primer to Fourier Transform and MR Physics and Simulation
Exploring of complex numbers and their role in Fourier Transform and Magnetic Resonance Physics with code. This guide elucidates the mathematical foundations...
AI
Policy Optimization with REINFORCE: A Deep Dive into Policy Gradients and related concepts
Discover how the REINFORCE algorithm leverages policy gradients, the log-trick, and Monte Carlo sampling to optimize decision-making in reinforcement learnin...
Taming the LLaMA: A Guide to Herding LLaMA 3.1 with Hugging Face
Exploring the different methods to load and work with the LLaMA 3.1 model using Hugging Face’s APIs and Meta’s original implementation. Learn which approach ...
GPT model Causal Multi-Head Attention Mechanism: Pure and Simple
How does the multi-head attention mechanism work in transformers? Let’s break it down step-by-step, starting from the input sequence and moving through the e...
Getting TensorFlow to Work with GPU in Conda Environment on Linux or WSL
Guide to set-up TensorFlow to use GPU in a Conda environment.Follow these steps to ensure TensorFlow leverages CUDA and cuDNN installed in your Conda environ...
Generative Models
Taming the LLaMA: A Guide to Herding LLaMA 3.1 with Hugging Face
Exploring the different methods to load and work with the LLaMA 3.1 model using Hugging Face’s APIs and Meta’s original implementation. Learn which approach ...
GPT model Causal Multi-Head Attention Mechanism: Pure and Simple
How does the multi-head attention mechanism work in transformers? Let’s break it down step-by-step, starting from the input sequence and moving through the e...
Understanding the Reparameterization Trick in Variational Autoencoders
Explore the intricacies of Variational Autoencoders (VAEs) and the pivotal role of the reparameterization trick in their training process. Learn how this ing...
Complex Numbers
2D Fourier Transform and Complex Numbers in MR Physics
Dive deep into the role of complex numbers and Fourier Transform in Magnetic Resonance Imaging (MRI), featuring practical coding examples and a detailed anal...
1D Fourier Transform: A Visual Guide for Decoding Signals with Complex Numbers
An in-depth exploration of Fourier Transform and complex numbers in MRI. Understand the critical role these concepts play in signal processing and MR imaging...
Complex Numbers and Rotations: A Primer to Fourier Transform and MR Physics and Simulation
Exploring of complex numbers and their role in Fourier Transform and Magnetic Resonance Physics with code. This guide elucidates the mathematical foundations...
Machine Learning
Policy Optimization with REINFORCE: A Deep Dive into Policy Gradients and related concepts
Discover how the REINFORCE algorithm leverages policy gradients, the log-trick, and Monte Carlo sampling to optimize decision-making in reinforcement learnin...
Taming the LLaMA: A Guide to Herding LLaMA 3.1 with Hugging Face
Exploring the different methods to load and work with the LLaMA 3.1 model using Hugging Face’s APIs and Meta’s original implementation. Learn which approach ...
GPT model Causal Multi-Head Attention Mechanism: Pure and Simple
How does the multi-head attention mechanism work in transformers? Let’s break it down step-by-step, starting from the input sequence and moving through the e...
virtual environments
Code editors and IDEs for Python
The python set up with visual studio code and pycharm for development environment
Python, conda and virtual environments
The python set up with conda and virtual environments explained
Training
Different ways to load custom dataset in TensorFlow 2 for classification
Tensorflow2: preparing and loading custom datasets
Working with custom datasets in PyTorch
Pytorch dataloader tutorial for custom datasets where both inputs and labels are images
TensorFlow
Getting TensorFlow to Work with GPU in Conda Environment on Linux or WSL
Guide to set-up TensorFlow to use GPU in a Conda environment.Follow these steps to ensure TensorFlow leverages CUDA and cuDNN installed in your Conda environ...
Different ways to load custom dataset in TensorFlow 2 for classification
Tensorflow2: preparing and loading custom datasets
Conda
Getting TensorFlow to Work with GPU in Conda Environment on Linux or WSL
Guide to set-up TensorFlow to use GPU in a Conda environment.Follow these steps to ensure TensorFlow leverages CUDA and cuDNN installed in your Conda environ...
How to Create a Data Folder for Each User and Move Conda Packages to a Shared Storage Drive
A guide to creating a data folder for each user on a shared storage drive and moving Conda packages to conserve space.
3D Visualization
Understanding the Reparameterization Trick in Variational Autoencoders
Explore the intricacies of Variational Autoencoders (VAEs) and the pivotal role of the reparameterization trick in their training process. Learn how this ing...
Visualizing and Animating 3D Motion Capture Data with PyVista
A comprehensive Python tutorial on visualizing and animating 3D motion capture data using PyVista with high frame rate.
Motion Capture
Understanding the Reparameterization Trick in Variational Autoencoders
Explore the intricacies of Variational Autoencoders (VAEs) and the pivotal role of the reparameterization trick in their training process. Learn how this ing...
Visualizing and Animating 3D Motion Capture Data with PyVista
A comprehensive Python tutorial on visualizing and animating 3D motion capture data using PyVista with high frame rate.
Animation
Understanding the Reparameterization Trick in Variational Autoencoders
Explore the intricacies of Variational Autoencoders (VAEs) and the pivotal role of the reparameterization trick in their training process. Learn how this ing...
Visualizing and Animating 3D Motion Capture Data with PyVista
A comprehensive Python tutorial on visualizing and animating 3D motion capture data using PyVista with high frame rate.
High FPS 3D plotting
Understanding the Reparameterization Trick in Variational Autoencoders
Explore the intricacies of Variational Autoencoders (VAEs) and the pivotal role of the reparameterization trick in their training process. Learn how this ing...
Visualizing and Animating 3D Motion Capture Data with PyVista
A comprehensive Python tutorial on visualizing and animating 3D motion capture data using PyVista with high frame rate.
Coding in MRI
2D Fourier Transform and Complex Numbers in MR Physics
Dive deep into the role of complex numbers and Fourier Transform in Magnetic Resonance Imaging (MRI), featuring practical coding examples and a detailed anal...
1D Fourier Transform: A Visual Guide for Decoding Signals with Complex Numbers
An in-depth exploration of Fourier Transform and complex numbers in MRI. Understand the critical role these concepts play in signal processing and MR imaging...
Transformers
Taming the LLaMA: A Guide to Herding LLaMA 3.1 with Hugging Face
Exploring the different methods to load and work with the LLaMA 3.1 model using Hugging Face’s APIs and Meta’s original implementation. Learn which approach ...
GPT model Causal Multi-Head Attention Mechanism: Pure and Simple
How does the multi-head attention mechanism work in transformers? Let’s break it down step-by-step, starting from the input sequence and moving through the e...
Causal Attention
Taming the LLaMA: A Guide to Herding LLaMA 3.1 with Hugging Face
Exploring the different methods to load and work with the LLaMA 3.1 model using Hugging Face’s APIs and Meta’s original implementation. Learn which approach ...
GPT model Causal Multi-Head Attention Mechanism: Pure and Simple
How does the multi-head attention mechanism work in transformers? Let’s break it down step-by-step, starting from the input sequence and moving through the e...
Self-Attention
Taming the LLaMA: A Guide to Herding LLaMA 3.1 with Hugging Face
Exploring the different methods to load and work with the LLaMA 3.1 model using Hugging Face’s APIs and Meta’s original implementation. Learn which approach ...
GPT model Causal Multi-Head Attention Mechanism: Pure and Simple
How does the multi-head attention mechanism work in transformers? Let’s break it down step-by-step, starting from the input sequence and moving through the e...
Anaconda
Python, conda and virtual environments
The python set up with conda and virtual environments explained
miniconda3
Python, conda and virtual environments
The python set up with conda and virtual environments explained
vs code
Code editors and IDEs for Python
The python set up with visual studio code and pycharm for development environment
pycharm
Code editors and IDEs for Python
The python set up with visual studio code and pycharm for development environment
Python
Django3.2.5 with Apache2 and mod_wsgi
serving django 3.2.5 with apache2 and mod_wsgi complete guide
Apache2
Django3.2.5 with Apache2 and mod_wsgi
serving django 3.2.5 with apache2 and mod_wsgi complete guide
Django
Django3.2.5 with Apache2 and mod_wsgi
serving django 3.2.5 with apache2 and mod_wsgi complete guide
Django3
Django3.2.5 with Apache2 and mod_wsgi
serving django 3.2.5 with apache2 and mod_wsgi complete guide
mod_wsgi
Django3.2.5 with Apache2 and mod_wsgi
serving django 3.2.5 with apache2 and mod_wsgi complete guide
screen resolution
Ubuntu 20.04 resolution stuck at 1280x720, permanent fix
permanently saving the resolution settings on Ubuntu 20.04
ubuntu 20.04
Ubuntu 20.04 resolution stuck at 1280x720, permanent fix
permanently saving the resolution settings on Ubuntu 20.04
xrandr
Ubuntu 20.04 resolution stuck at 1280x720, permanent fix
permanently saving the resolution settings on Ubuntu 20.04
xorg.conf
Ubuntu 20.04 resolution stuck at 1280x720, permanent fix
permanently saving the resolution settings on Ubuntu 20.04
Pytorch
Working with custom datasets in PyTorch
Pytorch dataloader tutorial for custom datasets where both inputs and labels are images
Dataset
Working with custom datasets in PyTorch
Pytorch dataloader tutorial for custom datasets where both inputs and labels are images
DataLoader
Working with custom datasets in PyTorch
Pytorch dataloader tutorial for custom datasets where both inputs and labels are images
Keras
Different ways to load custom dataset in TensorFlow 2 for classification
Tensorflow2: preparing and loading custom datasets
ImageDataGenerator
Different ways to load custom dataset in TensorFlow 2 for classification
Tensorflow2: preparing and loading custom datasets
photometric stereo
Photometric Stereo: estimating surface normals and albedo
Python tutorial to perform Photometric stereo for a lambertian case
lambertian
Photometric Stereo: estimating surface normals and albedo
Python tutorial to perform Photometric stereo for a lambertian case
3D reconstruction
Photometric Stereo: estimating surface normals and albedo
Python tutorial to perform Photometric stereo for a lambertian case
Image Stitching
Image Stitching: Combining multiple images of an overlapping scene
Python tutorial for detecting features and computing homography using RANSAC algorithms from scratch
Homography
Image Stitching: Combining multiple images of an overlapping scene
Python tutorial for detecting features and computing homography using RANSAC algorithms from scratch
Featue Matching
Image Stitching: Combining multiple images of an overlapping scene
Python tutorial for detecting features and computing homography using RANSAC algorithms from scratch
Transfer Learning
Knowledge Distillation: An Overview
Brief Intro to the Knowledge Distillation appraoch in Deep Learning
Model Efficiency
Knowledge Distillation: An Overview
Brief Intro to the Knowledge Distillation appraoch in Deep Learning
Optimization
Knowledge Distillation: An Overview
Brief Intro to the Knowledge Distillation appraoch in Deep Learning
Fast Inference
Knowledge Distillation: An Overview
Brief Intro to the Knowledge Distillation appraoch in Deep Learning
Data storage
How to Create a Data Folder for Each User and Move Conda Packages to a Shared Storage Drive
A guide to creating a data folder for each user on a shared storage drive and moving Conda packages to conserve space.
Linux administration
How to Create a Data Folder for Each User and Move Conda Packages to a Shared Storage Drive
A guide to creating a data folder for each user on a shared storage drive and moving Conda packages to conserve space.
Neural Data
Unraveling the Complexity of Neural Data: Neural Modes, Manifolds, and Dimensionality Reduction
A guide to understanding neural data using dimensionality reduction techniques such as Principal Component Analysis (PCA). The concept of neural manifolds an...
PCA
Unraveling the Complexity of Neural Data: Neural Modes, Manifolds, and Dimensionality Reduction
A guide to understanding neural data using dimensionality reduction techniques such as Principal Component Analysis (PCA). The concept of neural manifolds an...
Dimensionality Reduction
Unraveling the Complexity of Neural Data: Neural Modes, Manifolds, and Dimensionality Reduction
A guide to understanding neural data using dimensionality reduction techniques such as Principal Component Analysis (PCA). The concept of neural manifolds an...
Neural Modes
Unraveling the Complexity of Neural Data: Neural Modes, Manifolds, and Dimensionality Reduction
A guide to understanding neural data using dimensionality reduction techniques such as Principal Component Analysis (PCA). The concept of neural manifolds an...
Neural Manifolds
Unraveling the Complexity of Neural Data: Neural Modes, Manifolds, and Dimensionality Reduction
A guide to understanding neural data using dimensionality reduction techniques such as Principal Component Analysis (PCA). The concept of neural manifolds an...
Probability Theory
Understanding Probability Theory: A Primer for Computational Neuroethologists
This post covers the basics of probability theory, using examples from the field of computational neuroethology. It provides a fundamental understanding of d...
Computational Neuroethology
Understanding Probability Theory: A Primer for Computational Neuroethologists
This post covers the basics of probability theory, using examples from the field of computational neuroethology. It provides a fundamental understanding of d...
Experimental Design
Understanding Probability Theory: A Primer for Computational Neuroethologists
This post covers the basics of probability theory, using examples from the field of computational neuroethology. It provides a fundamental understanding of d...
Data Analysis
Understanding Probability Theory: A Primer for Computational Neuroethologists
This post covers the basics of probability theory, using examples from the field of computational neuroethology. It provides a fundamental understanding of d...
Neural Systems Modeling
Understanding Probability Theory: A Primer for Computational Neuroethologists
This post covers the basics of probability theory, using examples from the field of computational neuroethology. It provides a fundamental understanding of d...
PyVista
Visualizing and Animating 3D Motion Capture Data with PyVista
A comprehensive Python tutorial on visualizing and animating 3D motion capture data using PyVista with high frame rate.
Math for AI
Understanding the Reparameterization Trick in Variational Autoencoders
Explore the intricacies of Variational Autoencoders (VAEs) and the pivotal role of the reparameterization trick in their training process. Learn how this ing...
VAE
Understanding the Reparameterization Trick in Variational Autoencoders
Explore the intricacies of Variational Autoencoders (VAEs) and the pivotal role of the reparameterization trick in their training process. Learn how this ing...
Variational Autoencoder
Understanding the Reparameterization Trick in Variational Autoencoders
Explore the intricacies of Variational Autoencoders (VAEs) and the pivotal role of the reparameterization trick in their training process. Learn how this ing...
MR Physics
Complex Numbers and Rotations: A Primer to Fourier Transform and MR Physics and Simulation
Exploring of complex numbers and their role in Fourier Transform and Magnetic Resonance Physics with code. This guide elucidates the mathematical foundations...
Rotations
Complex Numbers and Rotations: A Primer to Fourier Transform and MR Physics and Simulation
Exploring of complex numbers and their role in Fourier Transform and Magnetic Resonance Physics with code. This guide elucidates the mathematical foundations...
Signal Decomposition
1D Fourier Transform: A Visual Guide for Decoding Signals with Complex Numbers
An in-depth exploration of Fourier Transform and complex numbers in MRI. Understand the critical role these concepts play in signal processing and MR imaging...
Discrete Fourier Transform
1D Fourier Transform: A Visual Guide for Decoding Signals with Complex Numbers
An in-depth exploration of Fourier Transform and complex numbers in MRI. Understand the critical role these concepts play in signal processing and MR imaging...
Phasors
1D Fourier Transform: A Visual Guide for Decoding Signals with Complex Numbers
An in-depth exploration of Fourier Transform and complex numbers in MRI. Understand the critical role these concepts play in signal processing and MR imaging...
Image Processing
2D Fourier Transform and Complex Numbers in MR Physics
Dive deep into the role of complex numbers and Fourier Transform in Magnetic Resonance Imaging (MRI), featuring practical coding examples and a detailed anal...
Spatial Frequencies
2D Fourier Transform and Complex Numbers in MR Physics
Dive deep into the role of complex numbers and Fourier Transform in Magnetic Resonance Imaging (MRI), featuring practical coding examples and a detailed anal...
K-space
Navigating K-space in MRI: The Role of Gradient Fields
Exploring the crucial role of gradient fields in MRI for stepping through K-space.
Gradient Fields
Navigating K-space in MRI: The Role of Gradient Fields
Exploring the crucial role of gradient fields in MRI for stepping through K-space.
Spin Magnetic Moments
Navigating K-space in MRI: The Role of Gradient Fields
Exploring the crucial role of gradient fields in MRI for stepping through K-space.
Image Reconstruction
Navigating K-space in MRI: The Role of Gradient Fields
Exploring the crucial role of gradient fields in MRI for stepping through K-space.
Medical Imaging
Navigating K-space in MRI: The Role of Gradient Fields
Exploring the crucial role of gradient fields in MRI for stepping through K-space.
GPU
Getting TensorFlow to Work with GPU in Conda Environment on Linux or WSL
Guide to set-up TensorFlow to use GPU in a Conda environment.Follow these steps to ensure TensorFlow leverages CUDA and cuDNN installed in your Conda environ...
CUDA
Getting TensorFlow to Work with GPU in Conda Environment on Linux or WSL
Guide to set-up TensorFlow to use GPU in a Conda environment.Follow these steps to ensure TensorFlow leverages CUDA and cuDNN installed in your Conda environ...
cuDNN
Getting TensorFlow to Work with GPU in Conda Environment on Linux or WSL
Guide to set-up TensorFlow to use GPU in a Conda environment.Follow these steps to ensure TensorFlow leverages CUDA and cuDNN installed in your Conda environ...
Linux
Getting TensorFlow to Work with GPU in Conda Environment on Linux or WSL
Guide to set-up TensorFlow to use GPU in a Conda environment.Follow these steps to ensure TensorFlow leverages CUDA and cuDNN installed in your Conda environ...
WSL2
Getting TensorFlow to Work with GPU in Conda Environment on Linux or WSL
Guide to set-up TensorFlow to use GPU in a Conda environment.Follow these steps to ensure TensorFlow leverages CUDA and cuDNN installed in your Conda environ...
WSL
Getting TensorFlow to Work with GPU in Conda Environment on Linux or WSL
Guide to set-up TensorFlow to use GPU in a Conda environment.Follow these steps to ensure TensorFlow leverages CUDA and cuDNN installed in your Conda environ...
GPT
GPT model Causal Multi-Head Attention Mechanism: Pure and Simple
How does the multi-head attention mechanism work in transformers? Let’s break it down step-by-step, starting from the input sequence and moving through the e...
Attention Mechanism
GPT model Causal Multi-Head Attention Mechanism: Pure and Simple
How does the multi-head attention mechanism work in transformers? Let’s break it down step-by-step, starting from the input sequence and moving through the e...
Multi-Head Attention
GPT model Causal Multi-Head Attention Mechanism: Pure and Simple
How does the multi-head attention mechanism work in transformers? Let’s break it down step-by-step, starting from the input sequence and moving through the e...
LLaMA
Taming the LLaMA: A Guide to Herding LLaMA 3.1 with Hugging Face
Exploring the different methods to load and work with the LLaMA 3.1 model using Hugging Face’s APIs and Meta’s original implementation. Learn which approach ...
Model Loading
Taming the LLaMA: A Guide to Herding LLaMA 3.1 with Hugging Face
Exploring the different methods to load and work with the LLaMA 3.1 model using Hugging Face’s APIs and Meta’s original implementation. Learn which approach ...
Hugging Face
Taming the LLaMA: A Guide to Herding LLaMA 3.1 with Hugging Face
Exploring the different methods to load and work with the LLaMA 3.1 model using Hugging Face’s APIs and Meta’s original implementation. Learn which approach ...
REINFORCE
Policy Optimization with REINFORCE: A Deep Dive into Policy Gradients and related concepts
Discover how the REINFORCE algorithm leverages policy gradients, the log-trick, and Monte Carlo sampling to optimize decision-making in reinforcement learnin...
Policy Gradients
Policy Optimization with REINFORCE: A Deep Dive into Policy Gradients and related concepts
Discover how the REINFORCE algorithm leverages policy gradients, the log-trick, and Monte Carlo sampling to optimize decision-making in reinforcement learnin...
Monte Carlo Methods
Policy Optimization with REINFORCE: A Deep Dive into Policy Gradients and related concepts
Discover how the REINFORCE algorithm leverages policy gradients, the log-trick, and Monte Carlo sampling to optimize decision-making in reinforcement learnin...
Stochastic Gradient Ascent
Policy Optimization with REINFORCE: A Deep Dive into Policy Gradients and related concepts
Discover how the REINFORCE algorithm leverages policy gradients, the log-trick, and Monte Carlo sampling to optimize decision-making in reinforcement learnin...
Reinforcement Learning
Policy Optimization with REINFORCE: A Deep Dive into Policy Gradients and related concepts
Discover how the REINFORCE algorithm leverages policy gradients, the log-trick, and Monte Carlo sampling to optimize decision-making in reinforcement learnin...