l-layer-neural-network

There are 0 repository under l-layer-neural-network topic.

• BasicDNN

  mmaric27 / BasicDNN

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

  adam-optimizerdeep-neural-networkdrop-out-layerfully-connected-networkgradient-descenthe-initializerl-layer-neural-networkl2-regularizationleaky-relumini-batch-gradient-descentmomentum-optimization-algorithmneural-networknumpypythonrelusigmoidsoftmaxtanhweights-initializationxavier-initializer
  Language:Python 1

• 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 function, in the right order. Build and apply a deep neural network to supervised learning.

  2-layerdata-analysisdata-sciencedata-visualizationdeep-learningdeep-neural-networksl-layer-neural-networkmachine-learningnumpypython
  Language:Jupyter Notebook 1

• prateeksawhney97 / cat-vs-noncat-L-layer-deep-neural-network

  L layer deep neural network for image classification.

  l-layer-neural-networkdeep-neural-networkscat-vs-noncatclassifierpython3
  Language:Python

• Si-ddhartha / Cat-vs-Non-cat-nn

  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

  classifierdeep-learningl-layer-neural-networkneural-network
  Language:Jupyter Notebook

• Ubaid-Manzoor / N-Layer-Neural-Network-Using-TensorFlow-With-Mnist-Dataset

  Its somewhat general way to create a N Layer Tensorflow Neural Network but here I used a Mnist Dataset

  digit-recognitionmnist-handwriting-recognitionl-layer-neural-networktenserflowcnndnn
  Language:Jupyter Notebook