Deep Learning Using TensorFlow (FDP Live)

Deep Learning Using TensorFlow (FDP Live)

Rs.299.00

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SKU: cid_213576 Category:
Duration & Time
  • Date will be updated soon...
  • 10 hours (2 hours daily)
  • 6:00 PM to 8:00 PM
Delivery Mode
  • Online interactive session on zoom
Course Content

Introduction of Machine Learning /Deep learning and Artificial Intelligent

  • Introduction of Artificial Intelligence and Machine Learning
  • A brief introduction to Machine Learning for AI
  • Introduction of DeepLearning
  • Difference between Machine Learning and DeepLearning
  • DeepLearning Techniques
  • Types of Learning
  • DeepLearning System Design
  • Supervised Learning- Regression
  • Classification
  • Future scope, Machine / Deep Learning, And Artificial Intelligence

Python/Anaconda

  • Introduction to python and anaconda
  • Conditional Statements
  • Looping, Control Statements
  • Lists, Tuple, Dictionaries
  • String Manipulation
  • Functions
  • Installing Packages
  • Introduction of Various Tool
  • Introduction of Anaconda
  • Working on spyder, Jupyter notebook

Introduction of Deep Learning Algorithms

  • Gradient Descent
  • Perceptrons
  • Neural Network
  • RNN
  • LSTM/GRU
  • CNN
  • DBN
  • DNS
  • Application of Various Deep Learning Algorithms

Neural Network

  • BASIC introduction Neuron
  • The Neuron Diagram
  • Neuron Models
  • Activation function
  • Binary Step Function
  • Linear Function
  • Sigmoid
  • Tanh
  • RELU
  • Leaky ReLU
  • Softmax
  • single-layer feed-forward
  • multi-layer feed-forward
  • Feedforward Neural Networks

CNN

  • Convolutional Neural Network (CNN)
  • What is CNN?
  • CNN Architecture
  • Convolution
  • Pooling and Stride
  • AlexNet
  • GoogLeNet
  • VGGNet
  • MobileNets
  • ResNet

TensorFlow

  • Introduction of TensorFlow
  • Basics of TensorFlow
  • Graph in TensorFlow
  • TensorFlow Session
  • Placeholders, Constants, Variables
  • Common Data Stored in Tensors
  • Introduction of Keras and implementation

Project (Demo)

  • MNIST Handwritten Digits Dataset
  • CIFAR Image Dataset
  • Image Classification Using CIFAR-10 Dataset
  • Human Face Detection
  • Drowsy Driver Detection System
  • Gender Recognition Using Voice
  • Human Pose Detection
  • Hand Gesture Recognition System
  • Facial Expression Recognition Project
  • Linear Regression with TensorFlow
  • Logistic Regression using TensorFlow
  • Images classification Using TensorFlow
  • Object Recognition Using Convolutional Neural Networks
  • Object tracking using CNN
  • Face recognition using CNN
Certification

A certificate of completion will be provided to all registered attendees.

For inquiry call:  8953463074

Live Training Programs 2023

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