Deep Learning with TensorFlow

BY
Udemy

Learn how to use Tensorflow's features effectively to harness the power of deep learning.

Mode

Online

Fees

₹ 3499

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

One of the best libraries for deep learning implementation is TensorFlow. TensorFlow is a software library that uses data flow graphs to compute mathematical expressions numerically. The Deep Learning with TensorFlow certification course was created by Packt Publishing, a tech-focused educational platform, and is made available by Udemy, which is targeted at learners who want to learn how to use TensorFlow to explore deep learning's potential.

Deep Learning with TensorFlow online course involves 2 hours of comprehensive video-based learning resources that are targeted at learners who want to become certified data scientists so they can perform machine learning and regularly work with neural networks. Deep Learning with TensorFlow online classes discusses topics like neural networks, image recognition, logistic regression, convoluted neural networks, and recurrent neural networks as well as discuss multiple significant deep learning algorithms covered, as well as numerous examples that make use of deep neural networks.

The highlights

  • Certificate of completion
  • Self-paced course
  • 2 hours of pre-recorded video content
  • 2 downloadable resources

Program offerings

  • Online course
  • Learning resources
  • 30-day money-back guarantee
  • Unlimited access
  • Accessible on mobile devices and tv

Course and certificate fees

Fees information
₹ 3,499
certificate availability

Yes

certificate providing authority

Udemy

What you will learn

Knowledge of deep learning

After completing the Deep Learning with TensorFlow online certification, learners will be introduced to the fundamentals of deep learning using TensorFlow. In this deep learning certification, learners will explore the techniques to develop Tensorflow graphs and will acquire the skills useful for programming networks using SciKit-Flow. In this deep learning course, learners will acquire knowledge of convolutional neural networks and recurrent neural networks for operations like logistic regression and image recognition.

The syllabus

Getting Started

  • The Course Overview
  • Installing TensorFlow
  • Simple Computations
  • Logistic Regression Model Building
  • Logistic Regression Training

Deep Neural Networks

  • Basic Neural Nets
  • Single Hidden Layer Model
  • Single Hidden Layer Explained
  • Multiple Hidden Layer Model
  • Multiple Hidden Layer Results

Convolutional Neural Networks

  • Convolutional Layer Motivation
  • Convolutional Layer Application
  • Pooling Layer Motivation
  • Pooling Layer Application
  • Deep CNN
  • Deeper CNN
  • Wrapping Up Deep CNN

Recurrent Neural Networks

  • Introducing Recurrent Neural Networks
  • skflow
  • RNNs in skflow

Wrapping Up

  • Research Evaluation
  • The Future of TensorFlow

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