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1. Convolution-on-a-2D-gray-scale-image Convolution-on-a-2D-gray-scale-image Public

   Working of convolutions by creating a basic convolution on a 2D Grey Scale image

   Jupyter Notebook

2. One-vs-All-----Backpropagation One-vs-All-----Backpropagation Public

   We will implement the backpropagation algorithm to compute the gradient for the neural network cost function for handwritten digits( 0-9)

   MATLAB

3. One-vs-All----Forward-Propagation One-vs-All----Forward-Propagation Public

   Here, we will implement one-vs-all logistic regression and neural networks to recognize hand-written digits (from 0 to 9).

   MATLAB

4. Solving_a_basic_computer_vision_problem Solving_a_basic_computer_vision_problem Public

   Recognize different items of clothing, trained from a dataset (Fashion MNIST) containing 10 different types.

   Jupyter Notebook

5. Blood_Cell_Detection_using_YOLO Blood_Cell_Detection_using_YOLO Public

   Solving a Blood Cell Detection problem by detecting the density of RBCs, WBCs and Platelets in our blood stream provides a lot of information about the immune system and hemoglobin.

   Jupyter Notebook

6. Horse_or_Human_Classifier Horse_or_Human_Classifier Public

   Creating a Horse or Human Binary Classifier on 300x300 real world images using ImageGenerator

   Jupyter Notebook 1