Deep Learning Tools

What is deep learning?

Deep Learning is a subset of machine learning. Deep learning uses hierarchical neural networks to analyze data. Neuron codes are linked together within these hierarchical neural networks, similar to the human brain. Unlike other traditional linear programs in machines, the hierarchical structure of deep learning allows it to take a nonlinear approach, processing data across a series of layers which each will integrate subsequent tiers of additional information.

So what is a neural network?

A neural network is a set of neurons organized in layers. Each neuron is a mathematical operation that takes its input, multiplies it by its weights, and then passes the sum through the activation function to the other neurons. A neural network is learning how to classify an input through adjusting its weights based on previous examples.

Activation Function

an activation function is a function that is added to an artificial neural network in order to help the network learn complex patterns in the data. When comparing with a neuron-based model that is in our brains, the activation function is at the end deciding what is to be fired to the next neuron. That is exactly what an activation function does in an ANN as well. It takes in the output signal from the previous cell and converts it into some form that can be taken as input to the next cell.

Tools Used in Deep Learning

We will be discussing some of the tools used in Deep Learning :

TensorFlow

TensorFlow is an open-source library for numerical computation and large-scale machine learning developed by the tech giant, Google, for the smooth running of deep learning applications. It was written in highly optimized C++ and CUDA (Nvidia’s language for programming GPUs) and provides an interface to languages like Python, Java, Go.

TensorFlow makes it fairly easy for beginners and even experts to create machine learning models for mobile, web, desktop, and cloud.

It is also used to create large-scale neural networks with multiple layers. If you want to solve deep learning or machine learning problems like Classification, Perception, Understanding, Discovering, Prediction and Creation, TensorFlow is the right deep learning tool for you.

Keras

Keras is a high-level neural network API that is capable of running on top of TensorFlow or Theano. It is written in Python and was developed mainly on enabling faster experimentation. Keras deep learning library allows the user for easier and faster prototyping with the use of modularity, minimalism, and easy extensibility.

Keras is a deep learning tool that supports recurrent networks and convolutional networks individually as well as in the combination of the two. It also supports multi-input and multi-output training. It follows best practices for reducing cognitive load by offering consistent and simple APIs. Furthermore, it minimizes the number of user actions that are needed for common use cases and provides clear feedback upon detection of any error.

Thank You! Stay Tuned!