Theano is a numerical computation library for Python. It is a common choice for implementing neural network models as it allows you to efficiently define, optimize and evaluate mathematical expressions, including multi-dimensional arrays.
Theano makes it possible to attain high speeds that give a tough competition to hand-crafted C implementations for problems involving large amounts of data.
It can take advantage of recent GPUs which makes it perform better than C on a CPU by considerable orders of magnitude under certain circumstances.
Theano has got an amazing compiler which can do various optimizations of varying complexity.
A few of such optimizations are:
Arithmetic simplification (e.
g: --x -> x; x + y - x -> y)
Using memory aliasing to avoid calculation
Constant folding
Merging similar subgraphs, to avoid redundant calculation
Loop fusion for elementwise sub-expressions
GPU computations
-You have hands on exp with ML / Hadoop technologies with a genuine interest in DL.
-You need to know basic python such as lists, dictionaries, loops, functions and classes
-You need to know basic differentiation
-You need to know basic algebra
Introduction
Installation
A Trivial Theano Expression
Expression for Matrix Multiplication
Computational Graph
Data Types
Variables
Shared Variables
Functions
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