TensorFlow for CNNs: Learn and Practice CNNs from Coursera

This guided project course is part of the "Tensorflow for Convolutional Neural Networks" series, and this series presents material that builds on the second course of DeepLearning.AI TensorFlow Developer Professional Certificate, which will help learners reinforce their skills and build more projects with Tensorflow. In this 2-hour long project-based course, you will learn the fundamentals of CNNs, structure, components, and how they work, and you will learn practically how to solve an image classification deep learning task in the real world and create, train, and test a neural network with Tensorflow using real-world images, and you will get a bonus deep learning exercise implemented with Tensorflow. By the end of this project, you will have learned the fundamentals of convolutional neural networks and created a deep learning model with TensorFlow on a real-world dataset. This class is for learners who want to learn how to work with convolutional neural networks and use Python for building convolutional neural networks with TensorFlow, and for learners who are currently taking a basic deep learning course or have already finished a deep learning course and are searching for a practical deep learning project with TensorFlow. Also, this project provides learners with further knowledge about creating and training convolutional neural networks and improves their skills in Tensorflow which helps them in fulfilling their career goals by adding this project to their portfolios.

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Covers the fundamentals of convolutional neural networks, including their structure, components, and how they function

Applies convolutional neural networks to solve real-world image classification tasks, providing practical experience

Utilizes TensorFlow, a popular deep learning framework, for creating, training, and testing neural networks

Provides hands-on experience with real-world image datasets, enhancing practical skills

Builds upon the knowledge gained in the second course of the DeepLearning.AI TensorFlow Developer Professional Certificate

Designed for learners who are currently taking or have completed a basic deep learning course and seek a practical project in TensorFlow

Reviews summary

Tensorflow cnn projects

This project-based course is designed for learners with basic deep learning knowledge and an interest in working with convolutional neural networks using TensorFlow. While some learners may appreciate the practical application of this course, others found that the explanations could be unclear, especially for beginners.

Can be useful for reviewing basic concepts.

"Good explanation and used for basics review."

Apply TensorFlow to build CNN projects.

"In this 2-hour long project-based course, you will learn the fundamentals of CNNs, ... and you will learn practically how to solve an image classification deep learning task in the real world and create, train, and test a neural network with Tensorflow using real-world images."

Instruction may be unclear at times.

"The content was there but the explanation is below average."

Course assumes basic deep learning knowledge.

"It's not for beginners and also the course instructor doesn't in-depth go about explaining the code."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in TensorFlow for CNNs: Learn and Practice CNNs with these activities:

Read 'Deep Learning with Python' by Francois Chollet

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Provides a comprehensive foundation in deep learning and TensorFlow

View Deep Learning with TensorFlow and Keras - Third... on Amazon

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Read chapters relevant to CNNs
Work through the code examples
Apply the concepts to personal projects

Review Python programming fundamentals

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Refreshes Python skills for a more solid foundation to build on

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Review data structures and algorithms
Practice writing Python code to solve simple problems
Work through Python tutorials and exercises

Complete TensorFlow tutorials

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Builds practical skills and understanding of TensorFlow

Browse courses on TensorFlow

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Follow TensorFlow tutorials on image classification
Experiment with different TensorFlow models and architectures
Apply TensorFlow to a small personal project

Three other activities

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Solve practice problems on convolutional neural networks

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Strengthens understanding of CNNs by solving real-world problems

Browse courses on Convolutional Neural Networks

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Find practice problems on Kaggle or LeetCode
Implement CNN models to solve the problems
Analyze results and fine-tune models for better performance

Build a CNN model for a real-world dataset

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Provides hands-on experience in applying CNNs to a practical task

Browse courses on Convolutional Neural Networks

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Choose a dataset and define the problem statement
Preprocess and prepare the dataset
Design and implement a CNN model
Train and evaluate the model
Present and discuss the results

Tutor students in CNNs and TensorFlow

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Enhances understanding by explaining concepts to others

Browse courses on Convolutional Neural Networks

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Identify opportunities to tutor or mentor others
Prepare materials and resources
Guide students through concepts and exercises
Provide feedback and support

Career center

Learners who complete TensorFlow for CNNs: Learn and Practice CNNs will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use large amounts of data to extract insights and build models that can help businesses make better decisions. This course can help you build a foundation in the fundamentals of convolutional neural networks, which are a type of deep learning model that is particularly well-suited for image classification tasks. By learning how to create and train convolutional neural networks, you can gain the skills necessary to become a Data Scientist.

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Artificial Intelligence Engineer

Artificial Intelligence Engineers design and develop artificial intelligence systems. This course can help you build a foundation in the fundamentals of convolutional neural networks, which are a type of deep learning model that is particularly well-suited for image classification tasks. By learning how to create and train convolutional neural networks, you can gain the skills necessary to become an Artificial Intelligence Engineer.

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Deep Learning Engineer

Deep Learning Engineers design and develop deep learning models. This course can help you build a foundation in the fundamentals of convolutional neural networks, which are a type of deep learning model that is particularly well-suited for image classification tasks. By learning how to create and train convolutional neural networks, you can gain the skills necessary to become a Deep Learning Engineer.

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Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. This course can help you build a foundation in the fundamentals of convolutional neural networks, which are a type of deep learning model that is particularly well-suited for image classification tasks. By learning how to create and train convolutional neural networks, you can gain the skills necessary to become a Machine Learning Engineer.

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Computer Vision Engineer

Computer Vision Engineers design and develop systems that can interpret and understand images. This course can help you build a foundation in the fundamentals of convolutional neural networks, which are a type of deep learning model that is particularly well-suited for image classification tasks. By learning how to create and train convolutional neural networks, you can gain the skills necessary to become a Computer Vision Engineer.

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Software Engineer

Software Engineers design, develop, and maintain software systems. This course can help you build a foundation in the fundamentals of convolutional neural networks, which are a type of deep learning model that is particularly well-suited for image classification tasks. By learning how to create and train convolutional neural networks, you can gain the skills necessary to become a Software Engineer.

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Data Analyst

Data Analysts collect, clean, and analyze data to identify trends and patterns. This course can help you build a foundation in the fundamentals of convolutional neural networks, which are a type of deep learning model that is particularly well-suited for image classification tasks. By learning how to create and train convolutional neural networks, you can gain the skills necessary to become a Data Analyst.

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Researcher

Researchers conduct research in a variety of fields. This course can help you build a foundation in the fundamentals of convolutional neural networks, which are a type of deep learning model that is particularly well-suited for image classification tasks. By learning how to create and train convolutional neural networks, you can gain the skills necessary to become a Researcher.

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Consultant

Consultants provide advice and guidance to businesses. This course can help you build a foundation in the fundamentals of convolutional neural networks, which are a type of deep learning model that is particularly well-suited for image classification tasks. By learning how to create and train convolutional neural networks, you can gain the skills necessary to become a Consultant.

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Business Analyst

Business Analysts help businesses understand their data and make better decisions. This course can help you build a foundation in the fundamentals of convolutional neural networks, which are a type of deep learning model that is particularly well-suited for image classification tasks. By learning how to create and train convolutional neural networks, you can gain the skills necessary to become a Business Analyst.

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Product Manager

Product Managers plan and develop products. This course can help you build a foundation in the fundamentals of convolutional neural networks, which are a type of deep learning model that is particularly well-suited for image classification tasks. By learning how to create and train convolutional neural networks, you can gain the skills necessary to become a Product Manager.

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Project Manager

Project Managers plan and execute projects. This course can help you build a foundation in the fundamentals of convolutional neural networks, which are a type of deep learning model that is particularly well-suited for image classification tasks. By learning how to create and train convolutional neural networks, you can gain the skills necessary to become a Project Manager.

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Technical Writer

Technical Writers create documentation for software and other technical products. This course can help you build a foundation in the fundamentals of convolutional neural networks, which are a type of deep learning model that is particularly well-suited for image classification tasks. By learning how to create and train convolutional neural networks, you can gain the skills necessary to become a Technical Writer.

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Entrepreneur

Entrepreneurs start and run their own businesses. This course can help you build a foundation in the fundamentals of convolutional neural networks, which are a type of deep learning model that is particularly well-suited for image classification tasks. By learning how to create and train convolutional neural networks, you can gain the skills necessary to become an Entrepreneur.

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Teacher

Teachers educate students in a variety of subjects. This course can help you build a foundation in the fundamentals of convolutional neural networks, which are a type of deep learning model that is particularly well-suited for image classification tasks. By learning how to create and train convolutional neural networks, you can gain the skills necessary to become a Teacher.

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