#Csce 502 Computational Basis Of Bioinformatics

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-521: Automated Reasoning #sat preparation #CSCE-642: Advanced Formal Languages #CSCE-530: Principles of Computer Architecture #CSCE-527: Cognitive Science I #CSCE-535: Introduction to Data Parallel Algorithms and Architectures #CSCE-506: System-theory #CSCE-608: Theory and Paradigms in Machine Vision #CSCE-528: Cognitive Science II