Deep Learning with Python at Great Learning Overview
Deep Learning with Python
at Great Learning
Deep Learning is an essential and influential part of Machine Learning
Duration | 8 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Deep Learning with Python
Table of contents
- Overview
- Highlights
- Course Details
- Curriculum
- Entry Requirements
- + 1 more item
Deep Learning with Python at Great Learning Highlights
Deep Learning with Python
at Great Learning
- Earn a certificate of completion from Great Learning
- Gain expertise in skills like ANN, Tensorflow, Keras
Deep Learning with Python at Great Learning Course details
Deep Learning with Python
at Great Learning
More about this course
- This free course starts with explaining what the need for Deep Learning is.
- You will then get a brief introduction to the TensorFlow library of Python that is apt for the Deep Learning implementation with Python
- You will understand more about TensorFlow and execute the ?hello world? program
- You will learn about modeling an equation in TensorFlow. You will also learn about calculating the loss and gradient
- A hands-on session is always a better approach for a learner to understand the concept better. Thus, you will look into the hands-on session on regression using TensorFlow
- You will then briefly know about the Gradient concept and get introduced to the Keras framework
- This free course is smartly designed for intermediate-level learners interested in Deep Learning. Enroll in this Deep Learning with Python free course and attain free certification on completing the course
Deep Learning with Python at Great Learning Curriculum
Deep Learning with Python
at Great Learning
Need for deep learning
Introduction to Tensorflow
Tensorflow :Eager execution and hello world
Tensorflow:Modelling an equation in Tensorflow
Calculating loss and gradient
Hands On: Regression using tensorflow(Eager Execution and Eager Normalization)
Gradient
Keras framework
Classification using MNIST
Deep Learning with Python at Great Learning Entry Requirements
Deep Learning with Python
at Great Learning
Eligibility criteria
- Prerequisites: Basics of python, Probability , Calculus
Conditional Offer
- Not mentioned
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A
Adityasingh Thakur
Deep Learning with Python
5.0
Learning Experience: It was very good because the topic taught by them is in a very intuitive manner by using visualization which can clear doubts..Curriculum: The course was curriculum updated because each and every topic that we need to do in data science job is mentioned throughly there..Faculty: Faculty is very supportive and kind. They taught each and very topic of data science in such a way that a non-technical person can also understand in proper way..Career Support: No I haven't got any job assistance but I'm going for off-campus right now first.
Reviewed on 12 Jun 2022Read More
M
Mohd Nadeem
Deep Learning with Python
5.0
Learning Experience: This was a great experience the question were provided by jp Morgan and we need to submit those assignments according to the instructions provided and if the assignment passes the test set we moove forward
Faculty: It was a virtual drive the assignment were provided by jp morgan
Cource curriculum was related to data analysis and questions were to decode the bugs present in code
Course Support: No career support provided
Reviewed on 5 Mar 2022Read More
View All 5 Reviews
Deep Learning with Python
at Great Learning
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at Great Learning
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