Deep Learning with Keras & TensorFlow Certification Training - eLearning
450,00 EUR
- 30 hours
This Deep Learning course with TensorFlow certification training is developed by industry leaders and aligned with the latest best practices. You’ll master deep learning concepts and models using Keras and TensorFlow frameworks through this TensorFlow course. Learn to implement deep learning algorithms with our TensorFlow training and prepare for a career as a Deep Learning Engineer.
Key Features
Language
Course and material are in english
Level
Beginner - intermediate level
Access
1 year access to the self-paced study eLearning platform 24/7
3 hours of video content
with 40 hours recommended study time & practices
Practices
Virtual labs, Quizzes, End-Project
No Exam
No exam for the course but student will get certification of training completion
Learning Outcomes
At the end of this Deep Learning met Keras & TensorFlow eLearning Course, you will be able to:
Concepts
Understand the concepts of Keras and TensorFlow, its main functions, operations, and the execution pipeline
Algorithms
Implement deep learning algorithms, understand neural networks, and traverse the layers of data abstraction
Neural Network
Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks, and high-level interfaces
Deep Learning models
Build deep learning models using Keras and TensorFlow frameworks and interpret the results
Autoencoders
Understand the language and fundamental concepts of artificial neural networks, application of autoencoders, and Pytorch and its elements
Differentiate
Differentiate between machine learning, deep learning, and artificial intelligence
Course timeline
Intro to TensorFlow
Lesson 01
- Intro to TensorFlow
- TensorFlow 2 and Eager Execution
- Lab: Linear Regression with TensorFlow
- Lab: Logistic Regression with TensorFlow
- Intro to Deep Learning
- Deep Neural Networks
Convolutional Networks
Lesson 02
- Intro to CNNs
- CNNs for Classification
- CNN Architecture
- Lab: Understanding Convolutions
- Lab: CNN with TensorFlow
Recurrent Neural Networks (RNNs)
Lesson 03
- The Sequential Problem
- The RNN Model
- The LSTM Model
- Lab: Basics of LSTM
- Applying RNNs to Language Modelling
- Lab: Language Modelling with LSTM
Restricted Boltzmann Machines (RBMs)
Lesson 04
- Intro to RBMs
- Training RBMs
- Lab: Restricted Boltzmann Machines
- Lab: Collaborative Filtering with RBM
Autoecoders
Lesson 05
- Intro to Autoencoders
- Autoencoder Structure
- Lab: Autoencoders
Who Should Enroll in this Program?
Prerequisites:
Learners need to possess an undergraduate degree or a high school diploma. Familiarity with programming fundamentals, a fair understanding of the basics of statistics and mathematics, and a good understanding of machine learning concepts.
AI Engineer
Data Scientist
Software Engineer
Students in UG/ PG programs
Data Analyst
Statements
Licensing and accreditation
Deep Learning with Keras & TensorFlow Certification training is offered by Simplilearn. AVC promote this course based on Partner's Agreement and meets the accreditation requirements.
Equality policy
Simplilearn currently does not provide test accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Question
Need corporate solutions or LMS integration?
Didn't find the course or program which would work for your business? Need LMS integration? Write us, we will solve everything!