EDUCATION

Gradient Descent and Backpropagation Learning Resources

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11 August 2023 17h00

To learn more: Gradient descent: https://
youtube.com/watch?v=qg4Pch
TECck
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Back prop and image credit: https://
youtube.com/watch?v=An5z8l
R8asY
… Original post credit: @bindureddy 10/10

Gradient Descent: Adjusting Weights and Biases to Reduce Loss

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11 August 2023 17h00

5: Gradient Descent: We now adjust the weights and biases based on the gradients calculated in the last step. Typically this is done by multiplying the gradient by a small factor called learning rate. The basic idea is to reduce the error or loss. 6/10

Calculating Loss: Measuring Prediction Error in Neural Networks

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11 August 2023 17h00

3. Calculate Loss: At first the prediction is a random guess. The error between the prediction and reality is called loss. If the network predicts there is no cat in an image of a cat, loss is high and vice-versa. 3/10

Neural Network Initialization and Feedforward Pass Basics

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11 August 2023 17h00

1. Initialize the neural network: Create a neural network and initialize it with random weights and biases. 2. Feedforward pass: NN predicts an outcome based on input. For example: does the input image have a cat? 2/10

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Blueprint for Using AI in Psychotherapy

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@terence_mills

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11 August 2023 2h00

A Blueprint for Using AI in Psychotherapy
#AI #AIio #BigData #ML #NLU #Futureofwork @CRudinschi @AntonioSelas @alexjc @RobotLaunch @karpathy @andyjankowski @bobgourley @CadeMetz http://
ow.ly/HowQ30swABw

→ View original post on X — @replit

Python Dominates AI Development: 300K Projects on Replit

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@replit

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11 August 2023 0h57

AI Devs love Python – 50% of 300K public AI projects on Replit
– 32M forks of Replit’s main Python template
– 3.7M forks of the Python with Turtle template
– 168K Devs taking 100 Days of Python https://
x.com/Replit/status/
1679898663831879680
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