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  1. Animation - 1719728959093.json +0 -0
  2. README.md +1 -13
  3. __pycache__/code.cpython-310.pyc +0 -0
  4. app.py +63 -0
  5. f.ipynb +788 -0
  6. gitflow.png +0 -0
  7. modelllls/mnist_model_lr0.00010699_bs16_epochs10.json +1 -0
  8. modelllls/mnist_model_lr0.00010699_bs16_epochs30.json +1 -0
  9. modelllls/mnist_model_lr0.00010699_bs256_epochs15.json +1 -0
  10. modelllls/mnist_model_lr0.00010699_bs256_epochs35.json +1 -0
  11. modelllls/mnist_model_lr0.00010699_bs512_epochs45.json +1 -0
  12. modelllls/mnist_model_lr0.00012839_bs16_epochs50.json +1 -0
  13. modelllls/mnist_model_lr0.00012839_bs32_epochs20.json +1 -0
  14. modelllls/mnist_model_lr0.00012839_bs64_epochs25.json +1 -0
  15. modelllls/mnist_model_lr0.00015407_bs16_epochs10.json +1 -0
  16. modelllls/mnist_model_lr0.00015407_bs16_epochs30.json +1 -0
  17. modelllls/mnist_model_lr0.00015407_bs512_epochs50.json +1 -0
  18. modelllls/mnist_model_lr0.00015407_bs8_epochs45.json +1 -0
  19. modelllls/mnist_model_lr0.00018488_bs128_epochs20.json +1 -0
  20. modelllls/mnist_model_lr0.00018488_bs16_epochs20.json +1 -0
  21. modelllls/mnist_model_lr0.00018488_bs32_epochs50.json +1 -0
  22. modelllls/mnist_model_lr0.00018488_bs512_epochs25.json +1 -0
  23. modelllls/mnist_model_lr0.00018488_bs8_epochs15.json +1 -0
  24. modelllls/mnist_model_lr0.00018488_bs8_epochs35.json +1 -0
  25. modelllls/mnist_model_lr0.00022186_bs16_epochs40.json +1 -0
  26. modelllls/mnist_model_lr0.00022186_bs256_epochs20.json +1 -0
  27. modelllls/mnist_model_lr0.00022186_bs32_epochs10.json +1 -0
  28. modelllls/mnist_model_lr0.00022186_bs512_epochs50.json +1 -0
  29. modelllls/mnist_model_lr0.00022186_bs64_epochs15.json +1 -0
  30. modelllls/mnist_model_lr0.00022186_bs64_epochs35.json +1 -0
  31. modelllls/mnist_model_lr0.00026623_bs256_epochs35.json +1 -0
  32. modelllls/mnist_model_lr0.00026623_bs64_epochs20.json +1 -0
  33. modelllls/mnist_model_lr0.00031948_bs16_epochs20.json +1 -0
  34. modelllls/mnist_model_lr0.00031948_bs256_epochs20.json +1 -0
  35. modelllls/mnist_model_lr0.00031948_bs32_epochs50.json +1 -0
  36. modelllls/mnist_model_lr0.00031948_bs512_epochs50.json +1 -0
  37. modelllls/mnist_model_lr0.00031948_bs8_epochs25.json +1 -0
  38. modelllls/mnist_model_lr1.2e-05_bs128_epochs15.json +1 -0
  39. modelllls/mnist_model_lr1.2e-05_bs128_epochs35.json +1 -0
  40. modelllls/mnist_model_lr1.2e-05_bs16_epochs45.json +1 -0
  41. modelllls/mnist_model_lr1.2e-05_bs256_epochs40.json +1 -0
  42. modelllls/mnist_model_lr1.2e-05_bs32_epochs15.json +1 -0
  43. modelllls/mnist_model_lr1.2e-05_bs512_epochs10.json +1 -0
  44. modelllls/mnist_model_lr1.2e-05_bs512_epochs30.json +1 -0
  45. modelllls/mnist_model_lr1.2e-05_bs64_epochs10.json +1 -0
  46. modelllls/mnist_model_lr1.2e-05_bs8_epochs45.json +1 -0
  47. modelllls/mnist_model_lr1.44e-05_bs128_epochs35.json +1 -0
  48. modelllls/mnist_model_lr1.44e-05_bs256_epochs40.json +1 -0
  49. modelllls/mnist_model_lr1.44e-05_bs32_epochs15.json +1 -0
  50. modelllls/mnist_model_lr1.44e-05_bs32_epochs35.json +1 -0
Animation - 1719728959093.json ADDED
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README.md CHANGED
@@ -1,13 +1 @@
1
- ---
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- title: TraiNNe
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- emoji: 🐢
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- colorFrom: gray
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- colorTo: purple
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- sdk: streamlit
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- sdk_version: 1.40.1
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- app_file: app.py
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- pinned: false
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- short_description: understanding hyper parameter tuning in NN
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- ---
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-
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
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+ # NNbasics
 
 
 
 
 
 
 
 
 
 
 
 
__pycache__/code.cpython-310.pyc ADDED
Binary file (2.41 kB). View file
 
app.py ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+
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+ import streamlit as st
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+ import tensorflow as tf
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+ from tensorflow.keras.datasets import mnist
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+ from tensorflow.keras.models import Sequential
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+ from tensorflow.keras.layers import Dense, Flatten
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+ from tensorflow.keras.optimizers import Adam
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+ import matplotlib.pyplot as plt
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+
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+ # Load MNIST data
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+ (x_train, y_train), (x_test, y_test) = mnist.load_data()
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+ x_train, x_test = x_train / 255.0, x_test / 255.0
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+
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+ # Streamlit app
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+ st.title("MNIST Neural Network Training")
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+
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+ # Sidebar for parameter selection
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+ st.sidebar.header("Model Parameters")
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+ learning_rate = st.sidebar.slider("Learning Rate", 0.0001, 0.01, 0.001)
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+ batch_size = st.sidebar.slider("Batch Size", 16, 128, 32)
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+ epochs = st.sidebar.slider("Epochs", 1, 20, 5)
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+
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+ # Model building function
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+ def build_model(learning_rate):
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+ model = Sequential([
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+ Flatten(input_shape=(28, 28)),
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+ Dense(128, activation='relu'),
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+ Dense(10, activation='softmax')
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+ ])
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+ model.compile(optimizer=Adam(learning_rate=learning_rate),
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+ loss='sparse_categorical_crossentropy',
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+ metrics=['accuracy'])
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+ return model
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+
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+ # Train the model
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+ if st.sidebar.button("Train Model"):
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+ model = build_model(learning_rate)
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+ history = model.fit(x_train, y_train, epochs=epochs, batch_size=batch_size, validation_data=(x_test, y_test))
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+
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+ # Plot training & validation accuracy values
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+ fig, ax = plt.subplots()
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+ ax.plot(history.history['accuracy'])
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+ ax.plot(history.history['val_accuracy'])
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+ ax.set_title('Model accuracy')
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+ ax.set_ylabel('Accuracy')
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+ ax.set_xlabel('Epoch')
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+ ax.legend(['Train', 'Test'], loc='upper left')
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+ st.pyplot(fig)
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+
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+ # Plot training & validation loss values
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+ fig, ax = plt.subplots()
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+ ax.plot(history.history['loss'])
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+ ax.plot(history.history['val_loss'])
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+ ax.set_title('Model loss')
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+ ax.set_ylabel('Loss')
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+ ax.set_xlabel('Epoch')
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+ ax.legend(['Train', 'Test'], loc='upper left')
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+ st.pyplot(fig)
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+
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+ # Evaluate the model
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+ loss, accuracy = model.evaluate(x_test, y_test, verbose=2)
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+ st.write(f"Test Accuracy: {accuracy:.4f}")
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+ st.write(f"Test Loss: {loss:.4f}")
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558
+ "Label: 1\n",
559
+ "\n",
560
+ "\n",
561
+ "Record 10:\n",
562
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+ " 0 0 0 0 0 0 0 0 0 0]\n",
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+ " 0 0 0 0 0 0 0 0 0 0]]\n",
619
+ "Label: 4\n",
620
+ "\n",
621
+ "\n"
622
+ ]
623
+ }
624
+ ],
625
+ "source": [
626
+ "import tensorflow as tf\n",
627
+ "from tensorflow.keras.datasets import mnist\n",
628
+ "\n",
629
+ "# Load MNIST data\n",
630
+ "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n",
631
+ "\n",
632
+ "# Display the first 10 records\n",
633
+ "for i in range(10):\n",
634
+ " print(f\"Record {i+1}:\")\n",
635
+ " print(f\"Image:\\n{x_train[i]}\")\n",
636
+ " print(f\"Label: {y_train[i]}\")\n",
637
+ " print(\"\\n\")\n"
638
+ ]
639
+ },
640
+ {
641
+ "cell_type": "code",
642
+ "execution_count": 2,
643
+ "metadata": {},
644
+ "outputs": [
645
+ {
646
+ "name": "stdout",
647
+ "output_type": "stream",
648
+ "text": [
649
+ "Collecting tensorflow\n",
650
+ " Downloading tensorflow-2.16.2-cp310-cp310-macosx_12_0_arm64.whl (227.0 MB)\n",
651
+ "\u001b[K |████████████████████████████████| 227.0 MB 50.3 MB/s eta 0:00:01\n",
652
+ "\u001b[?25hCollecting h5py>=3.10.0\n",
653
+ " Using cached h5py-3.11.0-cp310-cp310-macosx_11_0_arm64.whl (2.9 MB)\n",
654
+ "Collecting libclang>=13.0.0\n",
655
+ " Using cached libclang-18.1.1-py2.py3-none-macosx_11_0_arm64.whl (26.4 MB)\n",
656
+ "Requirement already satisfied: opt-einsum>=2.3.2 in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from tensorflow) (3.3.0)\n",
657
+ "Collecting astunparse>=1.6.0\n",
658
+ " Using cached astunparse-1.6.3-py2.py3-none-any.whl (12 kB)\n",
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+ "Collecting keras>=3.0.0\n",
660
+ " Downloading keras-3.4.1-py3-none-any.whl (1.1 MB)\n",
661
+ "\u001b[K |████████████████████████████████| 1.1 MB 23.7 MB/s eta 0:00:01\n",
662
+ "\u001b[?25hCollecting ml-dtypes~=0.3.1\n",
663
+ " Using cached ml_dtypes-0.3.2-cp310-cp310-macosx_10_9_universal2.whl (389 kB)\n",
664
+ "Requirement already satisfied: typing-extensions>=3.6.6 in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from tensorflow) (4.11.0)\n",
665
+ "Requirement already satisfied: grpcio<2.0,>=1.24.3 in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from tensorflow) (1.64.1)\n",
666
+ "Requirement already satisfied: protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3 in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from tensorflow) (3.20.3)\n",
667
+ "Requirement already satisfied: six>=1.12.0 in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from tensorflow) (1.16.0)\n",
668
+ "Requirement already satisfied: absl-py>=1.0.0 in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from tensorflow) (2.1.0)\n",
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+ "Collecting google-pasta>=0.1.1\n",
670
+ " Using cached google_pasta-0.2.0-py3-none-any.whl (57 kB)\n",
671
+ "Collecting tensorboard<2.17,>=2.16\n",
672
+ " Using cached tensorboard-2.16.2-py3-none-any.whl (5.5 MB)\n",
673
+ "Requirement already satisfied: wrapt>=1.11.0 in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from tensorflow) (1.16.0)\n",
674
+ "Requirement already satisfied: numpy<2.0.0,>=1.23.5 in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from tensorflow) (1.26.4)\n",
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+ "Requirement already satisfied: setuptools in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from tensorflow) (70.1.0)\n",
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+ "Requirement already satisfied: termcolor>=1.1.0 in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from tensorflow) (2.4.0)\n",
677
+ "Collecting tensorflow-io-gcs-filesystem>=0.23.1\n",
678
+ " Using cached tensorflow_io_gcs_filesystem-0.37.0-cp310-cp310-macosx_12_0_arm64.whl (3.5 MB)\n",
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+ "Requirement already satisfied: flatbuffers>=23.5.26 in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from tensorflow) (24.3.25)\n",
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+ "Requirement already satisfied: packaging in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from tensorflow) (24.0)\n",
681
+ "Collecting gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1\n",
682
+ " Downloading gast-0.6.0.tar.gz (27 kB)\n",
683
+ "Requirement already satisfied: requests<3,>=2.21.0 in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from tensorflow) (2.32.3)\n",
684
+ "Collecting wheel<1.0,>=0.23.0\n",
685
+ " Using cached wheel-0.43.0-py3-none-any.whl (65 kB)\n",
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+ "Requirement already satisfied: rich in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from keras>=3.0.0->tensorflow) (13.7.1)\n",
687
+ "Collecting optree\n",
688
+ " Using cached optree-0.11.0-cp310-cp310-macosx_11_0_arm64.whl (273 kB)\n",
689
+ "Collecting namex\n",
690
+ " Using cached namex-0.0.8-py3-none-any.whl (5.8 kB)\n",
691
+ "Requirement already satisfied: charset-normalizer<4,>=2 in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from requests<3,>=2.21.0->tensorflow) (3.3.2)\n",
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+ "Requirement already satisfied: urllib3<3,>=1.21.1 in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from requests<3,>=2.21.0->tensorflow) (2.2.2)\n",
693
+ "Requirement already satisfied: certifi>=2017.4.17 in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from requests<3,>=2.21.0->tensorflow) (2024.6.2)\n",
694
+ "Requirement already satisfied: idna<4,>=2.5 in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from requests<3,>=2.21.0->tensorflow) (3.7)\n",
695
+ "Requirement already satisfied: werkzeug>=1.0.1 in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from tensorboard<2.17,>=2.16->tensorflow) (2.2.3)\n",
696
+ "Collecting tensorboard-data-server<0.8.0,>=0.7.0\n",
697
+ " Using cached tensorboard_data_server-0.7.2-py3-none-any.whl (2.4 kB)\n",
698
+ "Collecting markdown>=2.6.8\n",
699
+ " Using cached Markdown-3.6-py3-none-any.whl (105 kB)\n",
700
+ "Requirement already satisfied: MarkupSafe>=2.1.1 in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from werkzeug>=1.0.1->tensorboard<2.17,>=2.16->tensorflow) (2.1.5)\n",
701
+ "Requirement already satisfied: markdown-it-py>=2.2.0 in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from rich->keras>=3.0.0->tensorflow) (3.0.0)\n",
702
+ "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from rich->keras>=3.0.0->tensorflow) (2.17.2)\n",
703
+ "Requirement already satisfied: mdurl~=0.1 in /Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/site-packages (from markdown-it-py>=2.2.0->rich->keras>=3.0.0->tensorflow) (0.1.2)\n",
704
+ "Using legacy 'setup.py install' for gast, since package 'wheel' is not installed.\n",
705
+ "Installing collected packages: wheel, tensorboard-data-server, optree, namex, ml-dtypes, markdown, h5py, tensorflow-io-gcs-filesystem, tensorboard, libclang, keras, google-pasta, gast, astunparse, tensorflow\n",
706
+ " Attempting uninstall: ml-dtypes\n",
707
+ " Found existing installation: ml-dtypes 0.4.0\n",
708
+ " Uninstalling ml-dtypes-0.4.0:\n",
709
+ " Successfully uninstalled ml-dtypes-0.4.0\n",
710
+ " Running setup.py install for gast ... \u001b[?25ldone\n",
711
+ "\u001b[?25hSuccessfully installed astunparse-1.6.3 gast-0.6.0 google-pasta-0.2.0 h5py-3.11.0 keras-3.4.1 libclang-18.1.1 markdown-3.6 ml-dtypes-0.3.2 namex-0.0.8 optree-0.11.0 tensorboard-2.16.2 tensorboard-data-server-0.7.2 tensorflow-2.16.2 tensorflow-io-gcs-filesystem-0.37.0 wheel-0.43.0\n",
712
+ "\u001b[33mWARNING: You are using pip version 21.2.3; however, version 24.1.1 is available.\n",
713
+ "You should consider upgrading via the '/Users/nihar/.pyenv/versions/3.10.0/bin/python3.10 -m pip install --upgrade pip' command.\u001b[0m\n"
714
+ ]
715
+ }
716
+ ],
717
+ "source": [
718
+ "!pip install tensorflow"
719
+ ]
720
+ },
721
+ {
722
+ "cell_type": "code",
723
+ "execution_count": 5,
724
+ "metadata": {},
725
+ "outputs": [
726
+ {
727
+ "name": "stdout",
728
+ "output_type": "stream",
729
+ "text": [
730
+ "zsh:1: unmatched \"\n"
731
+ ]
732
+ },
733
+ {
734
+ "name": "stderr",
735
+ "output_type": "stream",
736
+ "text": [
737
+ "/Users/nihar/.pyenv/versions/3.10.0/lib/python3.10/pty.py:89: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
738
+ " pid, fd = os.forkpty()\n"
739
+ ]
740
+ }
741
+ ],
742
+ "source": [
743
+ "!streamlit run /Users/nihar/Desktop/Desktop - nihar’s MacBook Air/cc/code files/auto-ML/NNbasics/code.py\""
744
+ ]
745
+ },
746
+ {
747
+ "cell_type": "code",
748
+ "execution_count": null,
749
+ "metadata": {},
750
+ "outputs": [
751
+ {
752
+ "ename": "",
753
+ "evalue": "",
754
+ "output_type": "error",
755
+ "traceback": [
756
+ "\u001b[1;31mRunning cells with 'Python 3.12.3' requires the ipykernel package.\n",
757
+ "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
758
+ "\u001b[1;31mCommand: '/opt/homebrew/bin/python3 -m pip install ipykernel -U --user --force-reinstall'"
759
+ ]
760
+ }
761
+ ],
762
+ "source": [
763
+ "!streamlit run \"/Users/nihar/Desktop/Desktop - nihar’s MacBook Air/cc/code files/auto-ML/NNbasics/code.py\""
764
+ ]
765
+ }
766
+ ],
767
+ "metadata": {
768
+ "kernelspec": {
769
+ "display_name": "Python 3",
770
+ "language": "python",
771
+ "name": "python3"
772
+ },
773
+ "language_info": {
774
+ "codemirror_mode": {
775
+ "name": "ipython",
776
+ "version": 3
777
+ },
778
+ "file_extension": ".py",
779
+ "mimetype": "text/x-python",
780
+ "name": "python",
781
+ "nbconvert_exporter": "python",
782
+ "pygments_lexer": "ipython3",
783
+ "version": "3.10.0"
784
+ }
785
+ },
786
+ "nbformat": 4,
787
+ "nbformat_minor": 2
788
+ }
gitflow.png ADDED
modelllls/mnist_model_lr0.00010699_bs16_epochs10.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"accuracy": [0.8101428747177124, 0.9060476422309875, 0.9215714335441589, 0.9313809275627136, 0.939047634601593, 0.9451904892921448, 0.94990473985672, 0.9539999961853027, 0.9575714468955994, 0.9613333344459534], "loss": [0.7817313075065613, 0.3564141094684601, 0.29254043102264404, 0.25579363107681274, 0.22843895852565765, 0.20622915029525757, 0.18763558566570282, 0.17187713086605072, 0.15824772417545319, 0.1462687849998474], "val_accuracy": [0.8966666460037231, 0.9135000109672546, 0.9213333129882812, 0.9254999756813049, 0.9316666722297668, 0.9353333115577698, 0.9375, 0.9403333067893982, 0.9426666498184204, 0.9449999928474426], "val_loss": [0.4103447198867798, 0.32245296239852905, 0.28662702441215515, 0.2637491822242737, 0.24623219668865204, 0.2316875159740448, 0.21974694728851318, 0.20967398583889008, 0.201065331697464, 0.19372345507144928]}
modelllls/mnist_model_lr0.00010699_bs16_epochs30.json ADDED
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