Create README.md

Author: Yash Srivastava

Assignment-2/Q4/README.md

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+# Question 4 - Assignment 2
+
+**About the Code**
+
+Finetuning AlexNet's last classifier layer where the classes are reduced from 1000 to the number of classes in dataset(8).
+
+**Installing Dependencies**
+
+1. Install PyTorch by following the instructions given on the link [here](http://pytorch.org/).
+2. Run ```pip3 install torchvision tensorflow==1.4 tensorboardX``` in command line.
+
+**Running the Code**
+
+1. First, get the dataset in two folders: train and test by modifying paths in [data_process.py](https://github.com/radonys/CV-Assignments/blob/master/Assignment-2/Q3/data_process.py).
+Then, execute the command ```python3 data_process.py```.
+2. Then modify the dataset path in [alexnet.py](https://github.com/radonys/CV-Assignments/blob/master/Assignment-2/Q3/alexnet.py), where the newly created folders are saved.
+3. Then run ```python3 alexnet.py```.
+
+**Visualizing the Results**
+
+To visualize the current results, open a terminal session, and run the following command:
+```tensorboard --logdir runs```
+
+**Obtained Results**
+
+1. Training Accuracy = **92.69%**
+2. Training Loss = **0.27**
+3. Testing Accuracy = **92.5**
+
+**Graphs**
+
+![Train Accuracy](https://github.com/radonys/CV-Assignments/blob/master/Assignment-2/Q3/trainacc.png "Train Accuracy")
+![Train Loss](https://github.com/radonys/CV-Assignments/blob/master/Assignment-2/Q3/trainloss.png "Train Loss")
+![Test Accuracy](https://github.com/radonys/CV-Assignments/blob/master/Assignment-2/Q3/testacc.png "Test Accuracy")