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neural-network-architecture

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TheKidPadra / DeepLearning.AI-Deep-Learning-Specialization

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This repo contains my work & The code base for this Deep Learning Specialization offered by deeplearning.AI

deep-learning tensorflow transformers coursera assignment python-programming convolutional-neural-network artificial-neural-network backpropagation hyperparameter-tuning andrew-ng specialization recurrent-neural-network deeplearning-ai mathematical-optimization inductive-transfer neural-network-architecture
  • Updated Feb 23, 2024
  • Jupyter Notebook

fatemafaria142 / Classification-of-Potato-Disease-A-Hybrid-Deep-Learning-Framework

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This research presents a hybrid deep learning framework combining MobileNet V2 with LSTM, GRU, and Bidirectional LSTM for classifying various potato diseases. The study explores the performance of different architectures to determine the optimal configuration for accurate disease categorization.

image-processing lstm gru stochastic-gradient-descent bidirectional-lstm mobilenet-v2 neural-network-architecture potato-disease-classification hybrid-deep-learning agricultural-disease-detection
  • Updated Aug 10, 2024
  • Jupyter Notebook

MohammedSaqibMS / Regularization

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This repository implements a 3-layer neural network with L2 and Dropout regularization using Python and NumPy. It focuses on reducing overfitting and improving generalization. The project includes forward/backward propagation, cost functions, and decision boundary visualization. Inspired by the Deep Learning Specialization from deeplearning.ai.

deep-learning gradient-descent l2-regularization performance-optimization model-training regularization-techniques neural-network-architecture overfitting-prevention dropout-regularization
  • Updated Sep 12, 2024
  • Jupyter Notebook

alanmenchaca / deep-learning-specialization

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Lecture notes, resources and programming assignments taken from the specialized deep learning program (a sequence of courses all related to deep learning) offered by DeepLearning.AI on coursera.

deep-learning tensorflow transformers python-programming convolutional-neural-network artificial-neural-network backpropagation hyperparameter-tuning recurrent-neural-network mathematical-optimization inductive-transfer neural-network-architecture
  • Updated Aug 13, 2024
  • Jupyter Notebook

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