Deep Learning Certification

Learn the fundamentals of Deep Learning in bangalore, and get certification from Vepsun professionals. To Get Deep Learning certification in bangalore

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Created by Sanjeev Singh Last updated Fri, 11-Sep-2020 English
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Curriculum for this course
0 Lessons 00:00:00 Hours
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Description
01 Learning Path
Introduction to Deep Learning
  • Define Deep Learning
  • Neural Networks
  • Deep Learning Applications
How to Train ANNs
  • Introduction
  • Perceptron Learning Rule
  • Gradient Descent Rule
  • Minimize Cost Function
  • Tuning Learning Rate
  • Stochastic vs Batch Gradient Descent
Perceptron
  • What is a Perceptron
  • Logic Gates with Perceptron
  • Activation Functions
  • Sigmoid
  • ReLU
  • Softmax
  • Hyperbolic Functions
02 Learning Path
Multi-Layer ANN
  • Intro to MLP
  • Forward Propagation
  • Minimize Cost Function
Training Deep Neural Nets
  • Vanishing/Exploding Gradients
  • Xavier Initialization
  • Leaky ReLUs and ELUs
  • Batch Normalization
  • Transfer Learning
  • Naive Bayes
  • Removing a Container
  • Unsupervised Pre-Training
Introduction to TensorFlow
  • Intro to TensorFlow
  • Computational Graph
  • Key Highlights
  • Creating a Graph
  • Regression Example
  • Gradient Descent
  • Saving and Restoring Models
  • Tf.layers API
  • Keras-Based networks
  • TensorBoard
03 Learning Path
Convolutional Neural Networks
  • Intro to CNNs
  • Convolution Operation
  • Kernel Filter
  • Feature Maps
  • Pooling
  • CNN Architecture
  • Implement CNN in Tensor Flow
Recurrent Neural Networks
  • Intro to RNNs
  • Unfolded RNNs
  • Basic RNN Cell
  • Dynamic RNN
  • Training RNNs
  • Time-series predictions
  • LSTM
  • Word Embedding’s
  • Seq2Seq Models
  • Implement RNN in TensorFlow
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