Binary and Categorical Focal loss implementation in Keras.
deep-neural-networks deep-learning keras binary-classification loss-functions categorical-cross-entropy cross-entropy-loss
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- Python
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categorical-cross-entropy
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A loss function for categories with a hierarchical structure.
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- Python
Kaggle Machine Learning Competition Project : In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset of Zalando's article images
keras splitting dropout classification keras-classification-models maxpooling keras-neural-networks model-evaluation classification-report adam-optimizer categorical-cross-entropy conv2d subplots reshaping
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- Jupyter Notebook
Two ensemble models made from ensembles of LightGBM and CNN for a multiclass classification problem.
machine-learning deep-neural-networks deep-learning machine-learning-algorithms jupyter-notebook lightgbm ensemble-learning convolutional-neural-networks decision-trees convolutional-neural-network manifold-learning ensemble-model multiclass-classification ensemble-classifier categorical-cross-entropy kfold-cross-validation ensemble-machine-learning financial-machine-learning bayessearchcv ensemble-deep-learning
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- Jupyter Notebook
Computer Vision and Deep Learning
python3 transfer-learning softmax kaggle-dataset multi-class-classification categorical-cross-entropy fine-tuning tensorflow2 efficientnet kaggle-notebook
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- Jupyter Notebook
his project is about building a artificial neural network using pytorch library. I am sharing the code and output for my project. Though there are many libraries out there that can be used for deep learning i like the pytorch most. As a python programmer, one of the reasons behind my liking is pythonic behaviour of pytorch.
python ai neural-network optimizer torch python3 pytorch artificial-intelligence neural-networks classification artificial-neural-networks softmax adam-optimizer categorical-cross-entropy categorical-data activation-functions torchvision relu-activation crossentropyloss
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- Python
Real-time driver distraction detection using time-distributed convolutional LSTM network for mobile platforms
deep-neural-networks deep-learning tensorflow cnn lstm neural-networks rnn lstm-model transfer-learning data-augmentation action-recognition lstm-neural-networks keras-tensorflow image-transformations adam-optimizer categorical-cross-entropy mobilenetv2 torchvision time-distributed driver-distraction-detection
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- Jupyter Notebook
A CNN Architecture classifies 14 kinds of automobile parts.
tensorflow matplotlib convolutional-neural-networks data-augmentation adam-optimizer max-pooling dense categorical-cross-entropy
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- Jupyter Notebook
A deep learning project based on TensorFlow that recognizes color patterns of brick.
python machine-learning deep-learning neural-network tensorflow pattern-recognition color-recognition categorical-cross-entropy
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- Jupyter Notebook
Transform TV control with Gesture Recognition! Enable intuitive interaction with smart TVs using gestures built using Conv3D, CNN & RNN
deep-learning lstm gesture-recognition categorical-cross-entropy conv3d cnn-rnn image-data-generator
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- Jupyter Notebook
Lightweight neural network library written in ANSI-C supporting prediction and backpropagation for Convolutional- and Fully Connected neural networks
neural-network image-classification convolutional-neural-network backpropagation adagrad fully-connected-network sigmoid tanh leaky-relu adam-optimizer categorical-cross-entropy softmax-layer relu-layer sgd-optimizer mean-square-error momentum-optimization-algorithm softsign glorot-uniform rmsprop-optimizer
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- C
This script trains a convolutional neural network (CNN) to classify handwritten digits.
keras image-classification convolutional-neural-networks confusion-matrix adam-optimizer categorical-cross-entropy
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- Jupyter Notebook
A neural network model based on TensorFlow that predicts shape of brick
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- PureBasic
Detecting Pneumonia in Chest X-ray Images using CNNs and Pre-trained Models in Tensorflow
tensorflow deeplearning convolutional-neural-networks inceptionv3 f1-score adam-optimizer categorical-cross-entropy pneumonia-detection covid-19
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Understanding the performance of different neural network architectures on the MNIST handwritten digits dataset, implemented in Tensorflow.
tensorflow cnn mnist regularization tensorflow-models categorical-cross-entropy mnist-handwriting-recognition sequential-models gradienttape custom-tensorflow
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- Jupyter Notebook
Multilayer Perceptron implementation using feedforward, backpropagation, and gradient descent from scratch.
machine-learning deep-learning neural-network gradient-descent binary-classification 42school feedforward softmax back-propagation adam-optimizer categorical-cross-entropy relu early-stopping
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- Python
Built a neural network in TensorFlow to classify handwritten digits from the MNIST dataset, covering preprocessing, training, and evaluation.
deep-learning tensorflow keras dnn sgd neural-networks mnist-classification sequential softmax dense categorical-cross-entropy relu
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- Jupyter Notebook
Deep Learning Nanodegree Project : Given an image of a dog, the algorithm will identify an estimate of the canine’s breed. If supplied with an image of a human, the code will identify the resembling dog breed.
deep-neural-networks keras accuracy transfer-learning preprocessing vgg16 convolutional-neural-network keras-neural-networks detect-faces rmsprop resnet-50 cnn-architecture categorical-cross-entropy xception-model dog-breed bottleneck-features dog-breed-classifier validation-loss
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