Deep Learning with TensorFlow Training at GoLogica Technologies id: India : USA : +1 (646)

About Deep Learning with TensorFlow Deep learning is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, semi-supervised or unsupervised. Some representations are loosely based on interpretation of information processing and communication. Tensorflow is an open-source software library for dataflow programming across a range of tasks. It is a symbolic math library, and also used for machine learning applications such as neural networks.

Introduction to Deep Learning with TensorFlow Introduction to TensorFlow  Hello World with TensorFlow  Linear Regression  Nonlinear Regression  Logistic Regression  Activation Functions Convolutional Neural Networks (CNN)  CNN History  Understanding CNNs  CNN Application

Recurrent Neural Networks (RNN)  Intro to RNN Model  Long Short-Term memory (LSTM)  Recursive Neural Tensor Network Theory  Recurrent Neural Network Model Unsupervised Learning  Applications of Unsupervised Learning  Restricted Boltzmann Machine  Collaborative Filtering with RBM Autoencoders  Introduction to Autoencoders and Applications  Autoencoders  Deep Belief Network

Other Trainings  SAP  ORACLE  SAS  Big Data  LANGUAGES  IBM  PEOPLESOFT  NETWORK  CLOUD COMPUTING  TESTING  SIEBEL  Mobile Applications  Microsoft  Web Technology  Workday  Hyperion  FUSION  Digital Marketing

THANK YOU