Category: AI

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Chapter 21: TensorFlow Operations

TensorFlow Operations (often called tf ops or just operations in TensorFlow). This is a very important concept because TensorFlow is basically a huge library of these operations — everything you do in a model...

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Chapter 22: TensorFlow Models

TensorFlow Models — one of the most important and practical parts of TensorFlow. I’m going to explain it like your favorite teacher: slowly, clearly, with lots of real-life stories (Hyderabad-style examples where possible), analogies,...

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Chapter 23: TensorFlow.js Visor

Step 1: What Exactly is the TensorFlow.js Visor? TensorFlow.js Visor (or tfjs-vis Visor) is a small, in-browser visualization library (called @tensorflow/tfjs-vis) designed specifically to work with TensorFlow.js. Its main job: Show live graphs, charts,...

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Chapter 24: Example 1

What “Example 1” Actually Does We create fake data where the relationship is roughly: y ≈ 2 × x + a little noise We ask the model to learn this relationship automatically by adjusting...

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Chapter 25: TensorFlow Example 1

What is “TensorFlow.js Example 1”? In the official TensorFlow.js documentation, most beginner YouTube videos, Udemy courses, and blog posts, Example 1 is always the same: Training a single-neuron linear regression model in the browser...

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Chapter 26: Example 1 Data

What is “Example 1 Data”? Example 1 Data = a very small, synthetic (made-up) dataset created just for the first TensorFlow.js tutorial. It has two parts: xs = input values (features / independent variable)...

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Chapter 27: Example 1 Model

What is the “Example 1 Model”? Example 1 Model = a single-layer, single-neuron dense model (basically a linear regressor implemented as a tiny neural network) that learns to predict: y ≈ 2 × x...

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Chapter 28: Example 1 Training

What is “Example 1 Training”? Example 1 Training = the model.fit() call in the classic first TensorFlow.js example. It is the moment when: The single-neuron model (1 weight + 1 bias) starts with random...

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Chapter 29: Example 2

What is “Example 2” in TensorFlow.js? Example 2 = training a convolutional neural network (CNN) on the MNIST handwritten digit dataset to classify images of digits 0–9. Dataset: 60,000 training + 10,000 test images...

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Chapter 30: TensorFlow Example 2

What is “TensorFlow.js Example 2”? Example 2 = training a convolutional neural network (CNN) on the MNIST handwritten digit dataset to classify images of digits 0–9. Dataset: 60,000 training images + 10,000 test images...