This course on Keras for beginners teaches Keras for beginners fundamentals through 3 interactive modules. If you are Beginner, then this course is for you. You can access this course on web and mobile, it’s available in English language.
This course on Keras for beginners teaches Keras for beginners fundamentals through 3 interactive modules. If you are Beginner, then this course is for you. You can access this course on web and mobile. This complete course is available in English language.
Learn all the core concepts of the Keras library in python and implement them practically with this expert course crafted and taught by industry experts enriching you with their job experiences. Throughout this course, you will learn to master many concepts such as Getting Started with Colab, Fully Connected Networks, Convolutional Neural Networks, Building the Model, Training the model, NLP, Raw Data Processing, Padding, Embeddings Matrix, Fully Connected Network for Text Analysis, CNNs for Text data, RNNs for Text Data and much more. You will gain proficiency in all these concepts by implementing them first-hand in projects throughout the course which will also help you to start building your portfolio. Upon completion, you will be awarded a globally-recognized certificate to showcase the skills you have gained and impress potential employers.
Learn all the core concepts of the Keras library in python and implement them practically with this expert course crafted and taught by industry experts enriching you with their job experiences. Throughout this course, you will learn to master many concepts such as Getting Started with Colab, Fully Connected Networks, Convolutional Neural Networks, Building the Model, Training the model, NLP, Raw Data Processing, Padding, Embeddings Matrix, Fully Connected Network for Text Analysis, CNNs for Text data, RNNs for Text Data and much more. You will gain proficiency in all these concepts by implementing them first-hand in projects throughout the course which will also help you to start building your portfolio. Upon completion, you will be awarded a globally-recognized certificate to showcase the skills you have gained and impress potential employers.
Key Features:
Internationally Acknowledged Certification
Completely online and learn at your own pace course
Lifelong access to complete course
Four gamified practice platforms
Committed forum support to answer all of your questions
Refund policy of seven days
Topics you will learn
Beginner Module
Welcome to Keras for Beginners course
Course Walk Through
Getting Started with Colab 1 - First Taste of Colab
Getting started with Colab 2 - More about Colab
Getting Started with Colab 3 - Little beyond the basics of Colab
Introduction to Keras 1
Introduction to Keras 2
Introduction to Keras 3
Introduction to Keras 4
Introduction to Keras 5
Intermediate Module
Welcome to Keras for Beginners course
Course Walk Through
Getting Started with Colab 1 - First Taste of Colab
Getting started with Colab 2 - More about Colab
Getting Started with Colab 3 - Little beyond the basics of Colab
Introduction to Keras 1
Introduction to Keras 2
Introduction to Keras 3
Introduction to Keras 4
Introduction to Keras 5
Convolutional Neural Network - 1 - Data Preprocessing
Convolutional Neural Network - 2A - Building the Model - Conv Layers
Convolutional Neural Network - 2B - Building the Model - Dense Layers
Convolutional Neural Network - 3A - Training the model
Convolutional Neural Network - 3B - Improving the Network Performance
Convolutional Neural Network - 3C - Improving the Network Performance
NLP - 0 - Project Overview
NLP - 1A - Text Data Processing - Built-in Dataset
NLP - 1B - Raw Data Processing
NLP - 1C - Raw Data Splitting
NLP - 2A - Tokenize Text Data
NLP - 2B - Padding
NLP - 3A - GloVe Word Embeddings
NLP - 3B - Embeddings Matrix
NLP - 4 - Fully Connected Network for Text Analysis
NLP - 5 - CNNs for Text data
NLP - 6 - RNNs for Text Data
NLP - 7 - LSTMs for Text Data
OPTIONAL STUDENT PROJECT EXERCISES NLP
Advanced Module
Welcome to Keras for Beginners course
Course Walk Through
Getting Started with Colab 1 - First Taste of Colab
Getting started with Colab 2 - More about Colab
Getting Started with Colab 3 - Little beyond the basics of Colab
Introduction to Keras 1
Introduction to Keras 2
Introduction to Keras 3
Introduction to Keras 4
Introduction to Keras 5
Course Offerings
Certificate you will get
Certificate Features
Certification from IITM Pravartak.
Certifications strengthen your programming profile and are recognized around the world.
Certificates are awarded upon the course's completion.
Pre Requsites
Basic knowledge of Deep Learning and the Python programming language.
The will to build and train deep learning models with Keras in python.
After this Course
Install and configure Keras on your local machine with ease.
Train a model Keras model with Colab and run it on any browser.
Implement a fully connected neural network.
Develop a deep learning network from scratch with Keras in python as part of a Capstone Project.
Have a solid understanding of Convolutional and Recurrent ANNs.
Adopt Deep Learning, NLP, and convolutional networks in a simple yet accurate way.
Course is for
Freshers
Professionals
Students
FAQ's
What is a Keras course?
A Keras course teaches individuals how to use the Keras library, a popular open-source deep learning framework. Keras simplifies the process of building and training artificial neural networks by providing a user-friendly interface for developing complex models. These courses typically cover the basics of machine learning, deep learning, and the various components of the Keras library, such as layers, activation functions, and loss functions as well as teach you how to master them.
What is Keras in python?
Keras is a popular open-source neural network library in Python that provides a high-level interface for building and training deep learning models. It is built on top of lower-level libraries such as TensorFlow, CNTK, and Theano, and allows for rapid prototyping and experimentation with neural network architectures. Keras in python is known for its ease of use, modularity, and support for a wide range of neural network types, including convolutional networks, recurrent networks, and more.
Why learn Keras course online?
Learning Keras in python course online can offer numerous benefits. Keras is a popular deep-learning framework that enables developers to create and deploy machine-learning models efficiently. Taking an online course in Keras can help individuals to gain a comprehensive understanding of the framework, its functions, and its applications with ease and the added comfort of self-paced learning. You will also gain industry tips and tricks from top mentors and build real-world projects as part of your portfolio. This can lead to exciting job opportunities in the field of AI and data science. Hence, an online course such as this one by GUVI will help you to a great extent.
What are the benefits of learning Keras?
Learning Keras helps us simplify the process of building and testing neural networks, allowing for faster experimentation with different architectures, and providing access to pre-trained models and resources. Keras also offers an intuitive and user-friendly API, making it a great tool for beginners and experienced developers alike. No wonder it is a must-have skill for major tech roles in the industry.
Is Keras hard to learn?
Keras, a popular deep-learning library, is relatively easy to learn due to its user-friendly API and extensive documentation. The library provides high-level abstractions, making it easy for beginners to develop and train neural networks quickly. While some experience in Python and machine learning concepts is useful, Keras is designed to be accessible to people with different levels of expertise. With an excellent learning resource such as this course by GUVI and practice, anyone can master Keras efficiently.
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