Deep Learning

Thane | Andheri

Admission open : 06th April 2020

Weekdays & Weekend Batches

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Deep learning neural networks used to identify objects and determine optimal actions

Deep Learning

Deep Learning

Lessons

  1. Introduction to Deep Learning

    • Why Deep Learning?
    • Quick recap of machine learning concepts
    • What is a neural network?
    • Three reasons to go Deep
    • Your choice of Deep Net
    • An old problem: The Vanishing Gradient
  2. Deep Learning Platforms and Software Libraries

    What is a Deep Learning Platform?
    • H2O.ai
    • Dato GraphLab
    What is a Deep Learning Library?
    • Theano
    • Caffe
    • TensorFlow
    • Keras
  3. Deep Learning Models

    • Restricted Boltzmann Machines
    • Deep Belief Nets
    • Convolutional Networks
    • Recurrent Nets
  4. Additional Deep Learning Models

    • Autoencoders
    • Recursive Neural Tensor Nets
    • Deep Learning Use Cases
  5. NLP

    • Structure extraction
    • Identify and mark sentence, phrase, and paragraph boundaries
    • Language identification
    • Tokenization
    • Acronym normalization and tagging
    • Lemmatization / Stemming
    • Decompounding
    • Entity extraction
    • Bag-of-words model and algorithms for NLP
  6. Image processing

    • Object Detection
    • Face Recognition
    • Histogram Analysis
    • Project : Traffic Car Count
  7. KERAS

    • Setting up KERAS
    • Creating a Neural Network
    • Training Models and Monitoring
    • Artificial Neural Networks
  8. Tensorflow

    • Neural Networks using Tensorflow
    • Debugging and Monitoring
    • Convolutional Neural Networks
    • Unsupervised Learning
  9. Artificial Neural Network

    • Neurons, ANN & Working
    • Single Layer Perceptron Model
    • Multilayer Neural Network
    • Feed Forward Neural Network
    • Cost Function Formation
    • Applying Gradient Descent Algorithm
    • Backpropagation Algorithm & Mathematical Modelling
    • Programming Flow for backpropagation algorithm
    • Use Cases of ANN
    • Programming SLNN using Python
    • Programming MLNN using Python/R
    • Digit Recognition using MLNN
    • XOR Logic using MLNN & Backpropagation
    • Diabetes Data Predictive Analysis using ANN
    • Project – Banking Problem Analysis – When the customer will leave?
    • Project – Medical Problem Analysis
  10. Times series

    Project – Temperature and Climate Analysis

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