Introduction to Deep Learning Theory (video-tutorial)

01 — Introduction

01 — Introduction

02 — Classification basics & Perceptrons

02 — Classification basics & Perceptrons

03 — Perceptron Algorithm, Error Functions, Sigmoid & Softmax Activation Functions

03 — Perceptron Algorithm, Error Functions, Sigmoid & Softmax Activation Functions

04 — Maximum Likelihood, Cross-Entropy, One-Hot Encoding

04 — Maximum Likelihood, Cross-Entropy, One-Hot Encoding

05 — Regression, MAE & MSE Error Functions

05 — Regression, MAE & MSE Error Functions

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MSc Computer Science. — Software engineer and programming instructor. Actively involved in Android Development and Deep Learning.

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Ioannis Anifantakis

Ioannis Anifantakis

MSc Computer Science. — Software engineer and programming instructor. Actively involved in Android Development and Deep Learning.