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Understand TensorFlow in detail
Updated on Sep, 2026
Programming, Data Science, Deep Learning
Duration - 2.5 hours
Training 5 or more people ?
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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 perform and explain each step required to complete the task.
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
Understanding Convolutions
CNN with MNIST Dataset
The Sequential Problem
Applying RNNs to Language Modeling
LSTM Language Modeling
Introduction to Autoencoders
Autoencoder structure
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!
Understand TensorFlow in detail.
Define Convolutional Network.
Describe Recurrent Neural Network.
Explain the Restricted Boltzmann Machine (RBM).
Explain Autoencoders in detail.
No prerequisites are required, as the course covers the concepts from the scratch. However, basic knowledge of Python and Machine Learning would help.
Check out the detailed breakdown of what’s inside the course
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