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Perceptron.py

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+import numpy as np
+from tqdm import tqdm
+
+
+class Perceptron:
+    
+    def __init__(self,learning_rate=0.01, epochs=100,activation_function='step'):
+        self.bias = 0
+        self.learning_rate = learning_rate
+        self.max_epochs = epochs
+        self.activation_function = activation_function
+
+
+    def activate(self, x):
+        if self.activation_function == 'step':
+            return 1 if x >= 0 else 0
+        elif self.activation_function == 'sigmoid':
+            return 1 if (1 / (1 + np.exp(-x)))>=0.5 else 0
+        elif self.activation_function == 'relu':
+            return 1 if max(0,x)>=0.5 else 0
+
+    def fit(self, X, y):
+        n_features = X.shape[1]
+        self.weights = np.random.randint(n_features, size=(n_features))
+        for epoch in tqdm(range(self.max_epochs)):
+            for i in range(len(X)):
+                inputs = X[i]
+                target = y[i]
+                weighted_sum = np.dot(inputs, self.weights) + self.bias
+                prediction = self.activate(weighted_sum)
+        print("Training Completed")
+
+    def predict(self, X):
+        predictions = []
+        for i in range(len(X)):
+            inputs = X[i]
+            weighted_sum = np.dot(inputs, self.weights) + self.bias
+            prediction = self.activate(weighted_sum)
+            predictions.append(prediction)
+        return predictions
+
+
+    
+    
+    
+ 

cnn_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1e48f5baa0624c5963df132fbdddf226af1339b87b39f9a980a729481ed46bcb
+size 391811360

lstm_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e62f2eaa690f9740c1fc1639de8ac71b7a01730caeed857d7bdb20fa38f4dece
+size 2594296

perceptron_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c82c08b36289ac34648aad1caaf072ce80d1804eff34e72d7a7b12e42c3eca60
+size 2264

requirements.txt

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+streamlit
+numpy
+pandas
+Pillow
+tensorflow
+tqdm
+opencv-python
+scikit-learn

rnn_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cc1f3c651799ee3eeafc4441f7b6ee9addb0dbf216afa5fdb5e1577765123f0d
+size 2243096