#Csce 531 Parallel Processing Organization

This space is waiting for its first post!

Good Picks

Spiking Neurons vs traditional artificial neurons.

Brain Dump

Deep Beliefs Network

Prashant Basnet

Bayes' Rule | Deep learnings

Prashant Basnet

How Restricted Boltzmann Machines Work? | Deep learning for Recommendation System

Prashant Basnet

Understanding GPT-3: From Embeddings to Predictions | Transformer

Brain Dump

What is GPT ? Transformer | Machine Learning Model

Prashant Basnet

Dynamics of a Small Dendritic Neural Network

Brain Dump

Qr Code to Deep learning Space

Anonymous User

The Building Blocks of Computer Vision: CNN Architecture 101

Prashant Basnet

CNN 102: Building an AI That Can See 👁️

Prashant Basnet

Building a Deep Neural Network in 6 Lines.

Prashant Basnet

Probability Theory 101: Building Blocks for Machine Learning. Chapter 1.

Brain Dump

What is Eigenvectors & Eigenvalues?

Prashant Basnet

The Battle of Activation Functions. Neural Network 101. Chapter 3

Prashant Basnet

Tensors and Tensor - Flow 101

Prashant Basnet

Linear Transformations & Their Applications in Machine Learning

Prashant Basnet

Linear Algebra 101: From Basic Concepts to Image Scaling

Prashant Basnet

What is Feature Scaling? Why is it crucial for Machine Learning?

Brain Dump

Understanding Derivatives: From Basic Concepts to Tangent Lines and Applications in Deep Learning

Brain Dump

From Continuous to Discrete: The Shift in Artificial Neuron Design

Brain Dump

Why is multi-layer network crucial?

Brain Dump

XOR Neural Network: A Case Study in Non-Linearity

Brain Dump

Neural Network 101. Chapter 2.

MS CS

Deep learning 101. Chapter 1.

MS CS

Recommended topics

#CSCE-517: Digital Techniques in Telecommunications #CSCE-650: Language Processing for Distributed Systems #CSCE-614: Fault-Tolerant Computing #ull minds #CSCE-573: Analog VLSI Design #CSCE-514: Error-control Codes for Computer Systems #CSCE-557: Software Testing and Verification #CSCE-550: Principles of Programming Languages #uber