COURSE DESCRIPTION
Artificieal intelligence and machine learning activities can be made easier with Keras, an open-source, high-level deep learning framework. Keras is a user-friendly interface for creating, training, and assessing deep learning models. It is built on top of well-known numerical computation frameworks such as TensorFlow and Theano. Its adaptability and simplicity, which make it usable by both novices and experts, are its main advantages. Convolutional and recurrent neural networks are supported by Keras, opening up a world of possibilities for applications ranging from reinforcement learning to image recognition and natural language processing. Keras accelerates the development of AI technologies by enabling developers to quickly experiment with and deploy state-of-the-art deep learning models through its vast documentation and vibrant community.
Keras is a popular choice for deep learning because it is easy to use, flexible, and powerful. It is also well-maintained and has a large community of users and contributors. Learn about our other course at codingshikho.com
CERTIFICATION
We will begin by teaching you How to develop apps with the help of our course Once you gain confidence in building and developing apps using Keras , then we’ll proceed with Paid version of this Keras and designing. and then you are provided with certificate.
We will Cover the following Topics in my sessions : –
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Coding Shikho
you would be able to build & design Your apps using e that secures Top Positions in the Google search Results!
Requirements
- Python:
You should have a good grasp of Python, as Keras is a Python library. You should be comfortable with basic programming concepts, data structures, and libraries commonly used in Python, like NumPy.
- Deep Learning Fundamentals:
It's helpful to understand the basics of deep learning and neural networks. You should be familiar with concepts such as feedforward neural networks, backpropagation, activation functions, and loss functions.
- Machine Learning:
While Keras is primarily focused on deep learning, having a general understanding of machine learning concepts is beneficial.
- Data Handling:
You should know how to manipulate and preprocess data, as preparing the data for training is a crucial part of deep learning.
- Practical Projects:
Apply your knowledge by working on projects. Start with simple projects and progressively move to more complex ones.
Features
- Instructor-Well-qualified and we choose them from industry. .
- Placement- 100%
- Residential room- well- Air-conditioned room , good food Availability, cloth cleaning services
- Project- Real world projects to learn and develops skills .
- Material - PDF , 90h classes, Friendly-environment and Videos .
Target audiences
- Gender- Male & Female
- Age- 15y to 60y
- Qualification- BCA, MCA ,B.Tech and B.Sc
- Hobbies- Interested in learning , problem solving , practicing and reading
- Experience - 0y-1y