\n\t

Class, Inheritance and Magic Functions

\n\t

Python Classes, Inheritance Concepts, Magic Functions

\n\t

Special Functions in Python

\n\t

Overview, Array, selecting data, Slicing, Iterating, Array Manipulations, Stacking, Splitting arrays, Key Functions

\n\t

Decorators and Special Functions

\n\t

Decorators implementation with class

\n\t

Context Manager ‘with’ in Python

\n\t

Context Manager Application

\n\t

Exception Handling

\n\t

Try and Catch block

\n\t

Python Package Management

\n\t

Bundling and export python packages

\n"} 57:{"id":30977,"heading":"TensorFlow 2.0 and Keras for Deep Learning","subheadings":"

TensorFlow 2.0 Basics
TensorFlow core concepts, Tensors, core APIs
Concrete Functions, Data Types, Control Statements
Polymorphic Functions, Concrete Functions, Datatypes, Control Statements, NumPy, Pandas
Autograph eager execution
tf.function autograph implementation
Keras (TensorFlow 2.0 Built-in API) Overview
Sequential Models, configuring layers, loading data, train and test, complex models, callbacks, save and restore Neural Network weights
Building Neural Networks in Keras
Building Neural networks from scratch in Keras

"} 58:{"id":30978,"heading":"Mathematics for Deep Learning","subheadings":"

Linear Algebra
Vectors, Matrices, Linear Transformation, Eigen Vectors, Matrix Operations, Special Matrices
Calculus – Derivatives: Calculus essentials, Derivatives and Partial Derivatives, Chain Rule, Derivatives of special functions
Probability Essentials: Probability basics and notations, Conditional probability, Essential Probability theorems for Machine Learning
Specia

Artificial Intelligence Foundation Course in Dubai