Deep Learning 2020-04-07T07:31:18+00:00

Course on

Deep Learning

The course builds a solid foundation and indepth unnderstanding of the most popular and widely used deep learning technologies and its applications, including Convoluted and Recurrent Neural Networks, Tensor Flow and even Keras–laying the building blocks for truly expanded capabilities.

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Video-Course Description

Key Features

  • Gain experience with handson exercises

  • Instructor led training

  • Flexibility of learning in class or online

  • Industry exposure – Use Cases

  • Learn by doing – Assignments, Tasks

  • Curriculum – par with Industry

  • Innovative Approach – Discussions, Quiz, webinar

  • Project Based Learning Approach

  • Capstone Projects

  • Solutions for your skill gaps

  • Upskilling and Level Setting

  • Dedicating mentoring sessions from industry experts

  • Career Support

  • Industry valued Certificate

Schedule

BatchModeTimeFee
Weekends/ WeekdaysOnline Training
Instructor Led
FlexibleINR 40000/-
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Weekends/ WeekdaysClassroom TrainingFlexibleINR 34000/-
Call/ Whatsapp

9841557655

Curriculum

Prerequisite : Python, Data Science, Machine Learning

Neural Networks Foundations, Fundamentals of deep learning, Activation Functions, hidden layers, hidden units, Illustrate & Training a Perceptron, Important Parameters of Perceptron, Various neural networks involved in deep learning, Creating a sequence of layers and adding layers in Tensorflow and Keras

Deep Learning with MLP, CNN, RNN, LSTM, GRUs, Regression networks, auto encoders, Generative Adversarial Networks, Word Embeddings, Deep reinforcement learning, Q learning

Compile model by specifying functions & optimizers, Execution of the defined model using Tensor flow & Keras, Parameters vs Hyper parameter, Hyper parameter tuning, Regularization, Optimization, Policy Gradient Methods

Capstone Project – I

Capstone Project – II

Tools Covered

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