کشیدن شکل با visio

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شرح پروژه

شکلا با مشخصات زیر تقریبا مشابه فایل پیوست کشیده شود.توجه شود که مشخصات شکل باید مانند دستور زیر باشد

1. **Input Layer**:   - Create a rectangle shape for the input layer and label it "Input Layer (28x28x1)".   2. **Convolutional Layer 1**:   - Create another rectangle shape for the first convolutional layer and label it "Convolution (3x3, 32 filters) with Padding: same".   3. **Batch Normalization 1**:   - Create an ellipse shape for the first batch normalization layer and label it "Batch Normalization".   4. **ReLU 1**:   - Create an ellipse shape for the first ReLU layer and label it "ReLU".   5. **Max Pooling 1**:   - Create a rectangle shape for the first max-pooling layer and label it "Max Pooling (2x2, Stride: 2)".   6. **Repeat the above steps** for the subsequent layers (Convolution 2, Batch Normalization 2, ReLU 2, Max Pooling 2, and so on) with appropriate labels.   7. **Fully Connected Layer 1**:   - Create a rectangle shape for the first fully connected layer with 512 units and label it "Fully Connected Layer (512 units)".   8. **ReLU for Fully Connected 1**:   - Create an ellipse shape for the ReLU layer after the first fully connected layer and label it "ReLU".   9. **Dropout Layer**:   - Create a rectangle shape for the dropout layer with a rate of 0.5 and label it "Dropout (0.5)".   10. **Fully Connected Layer 2**:     - Create a rectangle shape for the second fully connected layer with 256 units and label it "Fully Connected Layer (256 units)".   11. **ReLU for Fully Connected 2**:     - Create an ellipse shape for the ReLU layer after the second fully connected layer and label it "ReLU".   12. **Output Layer**:     - Create a rectangle shape for the output layer with 2 units and label it "Fully Connected Layer (2 units) with Softmax".   13. **Classification Layer**:     - Create a rectangle shape for the final classification layer and label it "Classification Layer".

این پروژه شامل 2 فایل مهم است، لطفا قبل از ارسال پیشنهاد حتما نسبت به بررسی این فایل اقدام فرمایید.

مهارت ها و تخصص های مورد نیاز

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