neograd 0.0.2

• Gradient checking added to check the correctness of gradients calculated by autograd
• Optimization algorithms like Momentum, RMSProp, Adam added
• Convolutional Neural Networks added with MaxPooling
• Save models, weights to disk and load them whenever required
• Add checkpoints while training to prevent loss of trained weights in case of catastrophes like running out of battery
• Tests added for layers, loss functions, activations
• Documentation available at neograd.readthedocs.io/