Brochure
Enquire
- The Course Overview
- Installing TensorFlow
- Simple Computations
- Logistic Regression Model Building
- Logistic Regression Training
Deep Learning with TensorFlow
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
Who it is for
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
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
Articles
Popular Articles
prev
next
