TensorFlow A Guide to TensorFlow: Linear regression (Part 5) Linear regression is a way to find an equation that models a relationship between a dependent variable X and a explanatory variable Y.

TensorFlow A Guide to TensorFlow (Part 4) Transformation consists of the graph we've be using in our examples, it consists of an input placeholder, the input is fed in a product and a sum node. Their outputs are then added, the resultant is the output of the transformation block.

TensorFlow A Guide to TensorFlow (Part 3) It is important for us to create our operations and build our computation graph, irrespective of the available data. In other words we must have a provision to provide data dynamically from a client program, or a helper function. We do that with what is called a “placeholder”.

TensorFlow A Guide to TensorFlow (Part 2) TensorFlow Operations, also known as Ops, are nodes that perform computations on or with Tensor objects. After computation, they return zero or more tensors, which can be used by other Ops later in the graph...

TensorFlow A Guide to TensorFlow (Part 1) At the heart of a TensorFlow program is the computation graph described in code. A computation graph is essentially a series of functions chained together

Learning Understanding Neural Networks (And How They Work) Artificial Neural Networks are class of a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data...

Learning Understanding Gradient Descent At a theoretical level, gradient descent is an algorithm that minimizes functions.

TensorFlow Installing TensorFlow on Windows 10 TensorFlow is an open source software library for machine intelligence and numerical computation using data flow graphs. TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in