Deep Learning With Keras and TensorFlow
All about Deep Learning!
Lectures -8
Resources -1
Duration -2.5 hours
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Course Description
About the Course:
The “Deep Learning with Keras and TensorFlow” course is an intermediate level course, curated exclusively for both beginners and professionals.
The course covers the basics as well as the advanced level concepts. The course contains content based videos along with practical demonstrations, that performs and explains each step required to complete the task.
Learning Objectives:
By the end of the course, you will be able to learn about:
Introduction to TensorFlow
TF2x and Eager Execution
TensorFlow Hello World
Linear Regression With TensorFlow
Logistic Regression With TensorFlow
Intro to Deep Learning
Deep Neural Networks
Intro to Convolutional Networks
CNN for Classifications
CNN Architecture
Understanding Convolutions
CNN with MNIST Dataset
The Sequential Problem
The RNN Model
The LSTM Model
LTSM Basics
Applying RNNs to Language Modeling
LSTM Language Modeling
Intro to RBMs
Training RBMs
RBM with MNIST
Introduction to Autoencoders
Autoencoder structure
...and much more!
If you're new to this technology, then don't worry - the course covers the topics from the basics. If you have done some programming before, you should pick it up quickly.
If you are a programmer looking to switch into an exciting new career track, this course will teach you the basic techniques used by real-world industry Machine Learning and Deep Learning developers. These are topics any successful technologist absolutely needs to know about, so what are you waiting for? Enroll now!
Who this course is for:
- Candidates who are willing to learn Deep Learning from scratch
- IT professional willing to upskill themselves in Deep Learning
- Python developers willing to upskill themselves
- Data Scientist or Machine Learning Developers willing to upskill themselves
- IT professions willing to start the career in Deep Learning
Goals
What will you learn in this course:
Understand TensorFlow in detail
Define Convolutional Network
Describe Recurrent Neural Network
Explain the Restricted Boltzmann Machine (RBM)
Explain Autoencoders in detail
Prerequisites
What are the prerequisites for this course?
No prerequisites are required, as the course covers the concepts from the scratch. However, basic knowledge of Python and Machine Learning would help.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction to TensorFlow
8 Lectures
- Introduction to TensorFlow 35:40 35:40
- Demo: Introduction to Deep Learning 20:11 20:11
- Convolution Network 13:30 13:30
- Demo: Convolutional Network 28:32 28:32
- Recurrent Neural Network 16:26 16:26
- Demo: Recurrent Neural Network 38:02 38:02
- Restricted Boltzmann Machine (RBM) 02:13 02:13
- Autoencoders 02:03 02:03
Instructor Details
Skillcart
Skillcart - We provide better e-learning experience.Skillcart is an e-learning company, that helps learners upskill in different technologies domains with its customized courses, that can be used by both beginners and professionals. Skillcart provides self-paced e-learning videos for all types of technical courses. Skillcart has courses available for Artificial Intelligence, Data Science with Python, Machine Learning, Deep Learning, and many more.
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