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Deep Learning With Keras and TensorFlow

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Deep Learning With Keras and TensorFlow

All about Deep Learning!

updated on icon Updated on Sep, 2023

language icon Language - English

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architecture icon Development,Keras

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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.


Deep Learning With Keras and TensorFlow

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction to TensorFlow
8 Lectures
  • play icon Introduction to TensorFlow 35:40 35:40
  • play icon Demo: Introduction to Deep Learning 20:11 20:11
  • play icon Convolution Network 13:30 13:30
  • play icon Demo: Convolutional Network 28:32 28:32
  • play icon Recurrent Neural Network 16:26 16:26
  • play icon Demo: Recurrent Neural Network 38:02 38:02
  • play icon Restricted Boltzmann Machine (RBM) 02:13 02:13
  • play icon Autoencoders 02:03 02:03

Instructor Details

Skillcart

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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