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Neural Network Tutorial | Introduction to Neural Network | Deep Learning Tutorial | Edureka

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( TensorFlow Training - https://www.edureka.co/ai-deep-learning-with-tensorflow ) This tutorial will provide you with a brief and crisp knowledge of Neural Networks, how they work, the various parameters involved in the whole Deep Learning Process.

Technologie
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The Human Vision
The Human Vision
The Human Vision
Can We Code This ???
Can We Code This ???
Can We Code This ???
Can We Code This ??? Neural Network Neurons Connection between them
WHAT Are Neurons ?
WHAT Is a Neural Network ??
Neural Networks
Neural Networks 0 = Black 1 = White
Neural Networks First Layer of Neural Network HIDDEN LAYERS INPUTLAYERS OUTPUTLAYERS
Structure Of Neural Networks HIDDEN LAYERS 784Neurons 10LAYERS
ACTIVATION Values Parameters ??? 784Neurons
W1 W2 W3 Wn Wn-1 Weights
W1 W2 W3 Wn Wn-1 Weights W1X1 + W2X2 + W3X3 + W4X4 + . . . . . . . . . . . .WnXn Weighted Sum
Compression Function W1 W2 W3 Wn-1 Wn Sigmoid ReLU
BIAS W1 W2 W3 Wn-1 Wn Bias for Inactivity (W1X1 + W2X2 + W3X3 + W4X4 + . . . . . . . . . . . .WnXn ) > B Weighted Sum σ (W1X1 + W2X2 + W3X3 + W4X4 + . . . . . . . . . . . .WnXn + B ) BIAS
Tweaking HIDDEN LAYERS 784Neurons 10LAYERS Approx. 13000 Weights and Biases
Perceptron HIDDEN LAYERS 784Neurons Inputs Weighted Sum Sigmoid Function Output Bias
Neural Network Tutorial | Introduction to Neural Network | Deep Learning Tutorial | Edureka

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