Dancing with AI - A Visual Bridge from Dance to ChatGPT

2022 03 01 09 40 36 1

Time Series Analysis with RNNS: The Model Problem Revisited

Machine Learning: In-depth look at Long Short Term Memory

Introduction to Gated Recurrent Units

Machine Learning: Introduction to Long-Short Term Memory (LSTM)

Limitations of the basic RNN

RNN's: How do they work?

Introduction to RNNS

Time-Series Analysis with RNNs: A model problem

Basic Architecture of CNN

Detailed Architecture Replacement

Receptive Field: Hubel and Wiesel

High Level Introduction to CNN

Introduction to Hyperparameters

Introduction to Weight Initialization

Introduction to the Learning Rate

Vanishing and Exploding Gradients

Momentum: Its use in Gradient Descent

Gradient Descents: Where are We and Next Steps.

Machine Learning: Where are We?

Implementation of SGD

Review of Gradient Application in Deep Learning

Regularization in Nature - Nervous System

Regularization - Data Augmentation

Regularization - Dropout

Regularization L2, L1

Automatic Differentiation.

Introduction to Regularization

Categorical Cross - Entropy Loss Softmax