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Download /Deep-Learning-A-Z-Jan-2025-udemy/03 - ANN Intuition/008 How to Use Stochastic Gradient Descent for Deep Learning Optimization.srt

Deep Learning Jan 2025 udemy

03 ANN Intuition 008 How to Use Stochastic Gradient Descent for Deep Learning Optimization srt

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Deep-Learning-A-Z-Jan-2025-udemy

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5.0 GB

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359

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2025-06-06 00:16

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F40D359139D1B8CD941ACE3CFDAE5F090612E963

/03 - ANN Intuition/008 How to Use Stochastic Gradient Descent for Deep Learning Optimization.srt

15.2 KB

/03 - ANN Intuition/008 How to Use Stochastic Gradient Descent for Deep Learning Optimization.mp4

34.8 MB

/03 - ANN Intuition/002 How Neural Networks Learn Gradient Descent and Backpropagation Explained.srt

4.6 KB

/03 - ANN Intuition/002 How Neural Networks Learn Gradient Descent and Backpropagation Explained.mp4

8.5 MB

/09 - RNN Intuition/002 How Do Recurrent Neural Networks --(RNNs--) Work Deep Learning Explained.srt

4.1 KB

/09 - RNN Intuition/006 How LSTMs Work in Practice Visualizing Neural Network Predictions.srt

25.5 KB

/03 - ANN Intuition/007 Mastering Gradient Descent Key to Efficient Neural Network Training.srt

18.0 KB

/09 - RNN Intuition/002 How Do Recurrent Neural Networks --(RNNs--) Work Deep Learning Explained.mp4

7.2 MB

/09 - RNN Intuition/006 How LSTMs Work in Practice Visualizing Neural Network Predictions.mp4

67.2 MB

/03 - ANN Intuition/007 Mastering Gradient Descent Key to Efficient Neural Network Training.mp4

35.9 MB

/06 - CNN Intuition/005 Rectified Linear Units --(ReLU--) in Deep Learning Optimizing CNN Performance.srt

11.2 KB

/06 - CNN Intuition/003 How Do Convolutional Neural Networks Work Understanding CNN Architecture.srt

27.0 KB

/03 - ANN Intuition/006 How Do Neural Networks Learn Understanding Backpropagation and Cost Functions.srt

22.3 KB

/09 - RNN Intuition/003 What is a Recurrent Neural Network --(RNN--) Deep Learning for Sequential Data.srt

28.6 KB

/09 - RNN Intuition/007 LSTM Variations Peepholes, Combined Gates, and GRUs in Deep Learning.srt

6.0 KB

 

Showing first 15 files of 359 total files


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