Premium Post Deep Learning Neural Network From Scratch with NumPy and MNIST Learn the fundamentals of how you can build neural networks without the help of the deep learning frameworks, and instead by using NumPy.
Premium Post Deep Learning TensorFlow 2.0 Tutorial in 10 Minutes TensorFlow is inevitably the package to use for Deep Learning, if you want the easiest deployment possible. On top of that, Keras is the standard API and is easy to use, which makes TensorFlow powerful for you and everyone else using it.
Premium Post Deep Learning Optimizers Explained - Adam, Momentum and Stochastic Gradient Descent Picking the right optimizer with the right parameters, can help you squeeze the last bit of accuracy out of your neural network model.
Premium Post Deep Learning Activation Functions Explained - GELU, SELU, ELU, ReLU and more Better optimized neural network; choose the right activation function, and your neural network can perform vastly better. 6 activation functions explained.
Premium Post Deep Learning Neural Networks: Feedforward and Backpropagation Explained & Optimization What is neural networks? Developers should understand backpropagation, to figure out why their code sometimes does not work. Visual and down to earth explanation of the math of backpropagation.
