Machine Learning

#### Gradient Descent Explained Simply

- Frank
- August 10, 2021
- ai for beginners
- ai prediction
- artificial intelligence
- average loss
- bias
- cross entropy loss
- epoch
- epochs
- error function
- Gradient Descent
- log loss
- log loss function
- loss function
- loss over epochs
- Machine Learning
- mean
- ML
- ml for beginners
- ml prediction
- Neural Network
- Perceptron
- Python
- python ai
- python artificial intelligence
- python ml
- python programming
- python tutorial
- simple gradient descent
- training loss
- update bias
- update weights
- weights

In this video, learn about Gradient Descent and how we can use it to update the weights and bias of our AI model. Time Stamps 00:00 – what is gradient descent? 00:37 – gradient descent vs perception 01:04 – sigmoid activation function 01:45 – bias and threshold 02:06 – weighted sum – working example 02:37 […]

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Machine Learning
Python

#### Machine Learning for Beginners: Binary Cross Entropy Loss Error Function

- Frank
- June 26, 2021
- AI
- ai for beginners
- artificial intelligence
- artificial intelligence for beginners
- binary
- binary cross entropy
- binary log loss
- cost
- cost function
- cross entropy
- cross entropy loss
- Data Science
- error function
- error term
- input
- label
- log loss
- logarithm
- loss function
- Machine Learning
- machine learning for beginners
- Math
- Mathematics
- mean
- ML
- Perceptron
- Prediction
- Python
- python machine learning
- python programming
- python tutorial
- Statistics
- Target
- weights
- y hat
- y'

In this lesson from Python Simplified learn the binary Log Loss/Cross Entropy Error Function and break it down to the very basic details.

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