The amateur’s guide to explore Deep Learning# Architecture Architecture Symbols & Naming Conventions Flow Shapes Dense Layer Forward Backward Model Activation Functions Sigmoid Stepwise Relu Leaky Relu Softplus Hyperbolic Tangent(Tanh) Softmax Gaussian Loss Categorical Cross Entropy Optimization Algortihms Gradient Descent Mini Batch Gradient Descent Implementation Logistic Regression From Scratch References Dataset Metrics Activation Function Architecture Gradient Descent Algorithm Neural Network From Scratch References Dataset Metrics Activation Function Architecture Gradient Descent Algorithm Intuition What is log Regression Intuition Fitting a linear regression model lets try something with Neural Networks lets try with a little bit complex pattern sine wave with a nerual network Classification Boundaries Basic Classification Easy Spiral Classification Complex Spiral Classification Additional Docs ML Guide Book Reco Guide Book NLP Guide Book Python Guide Book mightypy graphpkg Indices and tables# Index Module Index Search Page