l-layer-neural-network

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rajeshidumalla / Image-Classification

An application to recognise the cat images with the Accuracy of 80 %. From this project, I've learn how to: Build the general architecture of a learning algorithm, including: Initializing parameters Calculating the cost function and its gradient Using an optimization algorithm (gradient descent) Gather all three functions above into a main model…

python data-science machine-learning deep-neural-networks deep-learning numpy data-visualization data-analysis l-layer-neural-network 2-layer

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Jupyter Notebook

👁 BasicDNN

mmaric27 / BasicDNN

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Generic L-layer 'straight in Python' fully connected Neural Network implementation using numpy.

python neural-network numpy gradient-descent l2-regularization softmax fully-connected-network sigmoid tanh he-initializer xavier-initializer leaky-relu adam-optimizer mini-batch-gradient-descent relu deep-neural-network l-layer-neural-network weights-initialization momentum-optimization-algorithm drop-out-layer

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Python

Si-ddhartha / Cat-vs-Non-cat-nn

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Implemented an L-layer neural network to classify images as being of a cat or not from scratch without using any deep learning libraries like TensorFlow or PyTorch

classifier deep-learning neural-network l-layer-neural-network