Home AI Courses DeepLearning.AI TensorFlow Developer Professional Certificate

DeepLearning.AI TensorFlow Developer Professional Certificate

(0 reviews)

Learn to use TensorFlow for computer vision and natural language processing, manage image data, prevent overfitting, and train RNNs, GRUs, and LSTMs on text repositories.

Key AI Functions:Computer Vision,Convolutional Neural Network,Machine Learning,Natural Language Processing

Description

Reviews

Alternative Tools

Description for DeepLearning.AI TensorFlow Developer Professional Certificate

TensorFlow, a widely used open-source machine learning framework, is a popular choice for training neural networks for computer vision applications. Best practices should be followed when using this framework.

Manage real-world image data and investigate methods to prevent overfitting, such as dropout and augmentation.

Utilize TensorFlow to develop natural language processing systems.

Utilize text repositories to train RNNs, GRUs, and LSTMs.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by DeepLearning.AI

Duration: 2 months at 10 hours a week

Schedule: Flexible

Reviews for DeepLearning.AI TensorFlow Developer Professional Certificate

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Practical Data Science with MATLAB Specialization

IBM AI Product Manager

Copywriting with ChatGPT: Produce Compelling Copy That Sells

IBM Data Science Professional Certificate

Data Science in Python : Introduction

Alternative Tools for DeepLearning.AI TensorFlow Developer Professional Certificate

Akkio

Paid

The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.

#research #marketing

Gen AI Assisting Data Scientists

Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.

#Artificial Intelligence (AI) #Data Science

Gen AI Supporting Data Engineers

Begin your vocation in generative AI data engineering. Obtain the necessary skills to secure a position as a data engineer by acquiring an understanding of generative AI. No prior experience is required.

#Convolutional Neural Network #Information Engineering

GenAI An Introductory Course

Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.

#Artificial Intelligence (AI) #Python Programming

ML on Google Cloud

Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world

#Tensorflow #Machine Learning

Gen AI in Marketing Specialization

Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.

#Generative AI #Large Language Models

Gen AI - Art of the Possible An Intro

Learn the significance, use cases, history, and pros and cons of generative AI in a business context, with a focus on its relationship to machine learning and services at Amazon.

#Generative AI #Amazon Web Services

Retrieval Augmented Generation (RAG) - Intro

Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.

#Python Programming #Machine Learning

Deep Learning for Computer Vision Specialization

Use AI skills to advance your engineering career. Acquire practical knowledge regarding deep learning methodologies for computer vision.

#Anomaly Detection #Artificial Intelligence (AI)

Vertex AI - An Introduction

The "Introduction to Vertex AI" course provides a four-hour, practical, and fundamental overview of Vertex AI, ideal for professionals and enthusiasts aiming to leverage AI effectively.

#Critical Thinking #MLOps (Machine Learning Operations)