In this project, I'm predicting the daily bike rental ridership using different factors such as Weather, Date, Vacations etc. For this task, I have trained a deep Neural Network from scratch instead of using any popular framework.
In this project, I'm using a ConvNet (3 pairs of Convolution and Max-Pooling layer, one fully connected and one output layer) to classify 10 different types of objects(Truck, Cat, Ship etc) in CIFAR-10 Image Dataset. All images in this data set are non-overlapping