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00:35
Google Summer of Code 2023 #Shorts
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09:40
4.4.2: Implement a neuron for linear regression - Importing and normalizing training data
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08:10
4.5.1: Multi-layer perceptrons - The limits of a single neuron
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03:21
4.1: Rolling your own Web ML models from a blank canvas
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08:06
Samsung Galaxy S23 Ultra vs S22 Ultra: Don't make a mistake!
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04:33
4.4.1: Implement a neuron for linear regression - Training data and outliers
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15:38
4.7.1: Beyond perceptrons: Convolutional Neural Network (CNNs) in the web browser
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23:39
Interview with Pavlo Stavytskyi, Google Cloud contributor to Google Dev Library
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09:26
5.3: Using layers models for transfer learning
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06:48
5.1: Transfer learning: Retraining existing models in the web browser with TensorFlow.js
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12:56
4.4.3: Implement a neuron for linear regression - Model creation and training
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02:45
Google Summer of Code 2023, Cloud Workstations, and more dev news
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15:23
4.7.2: Beyond perceptrons: Convolutional Neural Network (CNNs) - Implementation with TensorFlow.js
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10:06
4.2: Gathering, refining, and using data effectively for ML model datasets
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11:28
4.6.1: Multi-layer perceptrons for classification
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08:49
I got an UNRELEASED iPhone
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00:36
IYKYK.
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01:52
What does it mean to be a Google Developer Expert (GDE)?
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10:42
4.5.2: Multi-layer perceptrons - Deep neural networks for non linear data
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09:58
4.3.2: How to train a neuron?
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08:33
4.3.1: What's a neuron?
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18:43
4.6.2: Multi-layer perceptrons for classification - Implementing a classifier in TensorFlow.js
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