Tensorflow 2 & Keras:Deep Learning & Artificial Intelligence
What you'll learn
- Complete Understanding of TensorFlow 2 (Google’s Deep Learning Framework) from the Scratch
- Keras API to quickly build models that run on Tensorflow 2
- Learn How Neural Network works
- Understand Backpropagation, Forward Propogation, Gradient Descent
- Artificial Neural Networks (ANNs)
- Convolutional Neural Networks (CNNs)
- Perform Image Classification with Convolutional Neural Networks
- Image Recognition
- Recurrent Neural Networks (RNNs)
- Transfer Learning
- Create Generative Adversarial Networks (GANs) with TensorFlow
- Generative Deep Learning - Neural Style Transfer
- Data Analysis with Numpy, Pandas and Data Visualization with Matplotlib
- Understanding of Python coding
Welcome to Deep Learning and Artificial Intelligence with Tensorflow 2 and Keras API Course.
This course includes how to work with tensorflow 2 and creates Deep Learning applications with tensorflow 2 and Keras.
This course guide you how to work with google colab, all the hands on work done in google colab.
Many Projects included in this course like MNIST Digits Classification, MNIST Fashion data classification, Cat and Dog images Classification, Facial Expression Recognition, Leaf disease recognition, Generate Images with DCGANs(Deep Convolutional Generative Adversarial Networks) with Keras, Denoising autoencoders with Keras, TensorFlow, and Deep Learning etc.
Generative Deep Learning - Neural Style Transfer also included in this course.
For every lecture reference notes and code file is attached in this course.
Tensorflow is an open source machine library, and is one of the most widely used frameworks for deep learning.
Google released a new version of their TensorFlow deep learning library (TensorFlow 2) that integrated the Keras API directly and promoted this interface as the default or standard interface for deep learning development on the platform.
This course includes various topics -
Complete Understanding of TensorFlow 2.0 (Google’s Deep Learning Framework)
from the Scratch
Keras API to quickly build models that run on Tensorflow 2
Learn How Neural Network works
Understand Backpropagation, Forward Propogation, Gradient Descent
Artificial Neural Networks (ANNs)
Convolutional Neural Networks (CNNs)
Perform Image Classification with Convolutional Neural Networks
Recurrent Neural Networks (RNNs)
Create Generative Adversarial Networks (GANs) with TensorFlow
Introduction to Natural Language Processing
Data Analysis with Numpy, Pandas and Data Visualization with Matplotlib
Who this course is for:
- Anyone Passionate about Deep Learning and Artificial Intelligence
- Python Developer curious about Deep Learning and Tensorflow
We provide comprehensive training in Industrial Automation, Artificial Intelligence(AI), Machine Learning(ML) & Deep Learning, Python Programming and Data Science.
We are providing a broad foundation for a revolution in higher education worldwide. The advent of the Internet and other information technologies can make teaching and research readily available to scholars and students across the globe.
With the changing global scenario and India turning out to be knowledge based economy like US, there is a huge requirement of technology professionals worldwide. The Need of interactive learning and maintaining high quality standards in technology education is the need of the hour. With over 10 million upcoming new jobs in emerging technology sectors like Artificial Intelligence(AI), Machine Learning(ML), Deep Learning(DL), Python Programming, Cloud Computing, Embedded systems and Robotics, young India must opt for technology training that comes from the premier education schools-training that is high quality, reliable, cutting edge and complete. Such training will not only equip students to participate in the job-rich emerging sectors, it will also allow existing professionals to re-skill themselves with more up-to-date technology knowledge.