Home AI Courses Neural Networks and Deep Learning

Neural Networks and Deep Learning

(0 reviews)

The Deep Learning Specialization offers a comprehensive foundation in deep learning, practical skills in constructing neural networks, and prepares individuals to integrate machine learning into professional endeavors, advancing careers in AI.

Key AI Functions:Artificial Neural Network,Backpropagation,Python Programming,Deep Learning,Neural Network Architecture

Description

Reviews

Alternative Tools

Description for Neural Networks and Deep Learning

Gain a comprehensive understanding of deep learning and neural networks fundamentals in the initial course of the Deep Learning Specialization.

Acquire practical skills to construct, train, and apply fully connected deep neural networks, identify critical parameters, and apply deep learning to real-world applications.

The Deep Learning Specialization serves as a core program, providing essential knowledge and skills to comprehend, engage in, and advance cutting-edge AI technology.

Equip yourself with the knowledge and skills to integrate machine learning into professional endeavors, advance technical career, and transition into the realm of AI through this specialization.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by DeepLearning.AI

Duration: 24 hours (approximately)

Schedule: Flexible

Reviews for Neural Networks and Deep Learning

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Smart Analytics, Machine Learning, and AI on Google Cloud

Supervised ML: Regression

ChatGPT for Beginners: SciFi Writing with Dall-e

Probabilistic Graphical Models Specialization

ML Algorithms: Supervised Learning Tip to Tail

Alternative Tools for Neural Networks and Deep Learning

GenAI An Introductory Course

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

#Artificial Intelligence (AI) #Python Programming

Gen AI in Code Generation for Python

Welcome to the 'Gen AI for Code Generation for Python' course, where you will begin a journey to hone and expand your abilities in the field of code generation using Generative AI.

#Prompt Engineering #Python Programming Language

Functions, Tools and Agents with LangChain

Learn to use the latest LLM APIs, the LangChain Expression Language (LCEL), and develop a conversational agent.

#Python Programming #Langchain

Software Development: Python Code Generation

Master coding basics and create a Hangman game using generative AI tools like Google Bard in a beginner-friendly, 1.5-hour guided project.

#Software Development #Python Programming

Building Gen AI-Powered Applications with Python

Learn about AI principles and platforms like IBM Watson and Hugging Face, integrate RAG technology for chatbot intelligence, create web apps using Python libraries, and develop interfaces with generative AI models and Python frameworks.

#Voice Assistants #Chatbots

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)

Automated Reasoning with GPT Assistant API: ReAct Agents

Gain expertise in deploying and managing LLMs on Azure, optimizing interactions with Semantic Kernel, and applying Retrieval Augmented Generation (RAG) techniques.

#Artificial Intelligence (AI) #Python Programming

Operationalizing LLMs on Azure

Gain expertise in deploying and managing LLMs on Azure, optimizing interactions with Semantic Kernel, and applying Retrieval Augmented Generation (RAG) techniques.

#Artificial Intelligence (AI) #Python Programming

ML Specialization

Specialization in Machine Learning at BreakIntoAI. Master the fundamental AI concepts and cultivate practical machine learning skills in the beginner-friendly, three-course program by AI visionary Andrew Ng.

#Logistic Regression #Artificial Neural Network

Featured Tools

Smart Analytics, Machine Learning, and AI on Google Cloud

This course instructs on integrating machine learning into data pipelines utilizing BigQuery ML, AutoML, and Vertex AI, emphasizing model development and deployment on Google Cloud.

#google cloud #artificial intelligence

Supervised ML: Regression

Besides Python programming and data science fundamentals, the course covers supervised machine learning regression, which includes training models for continuous outcomes, error metrics, Elastic Net, LASSO, Ridge regularization, and data science fundamentals for aspiring data scientists.

#Linear Regression #Machine Learning (ML) Algorithms

ChatGPT for Beginners: SciFi Writing with Dall-e

The course delves into the development of effective prompts for AI communication, the use of ChatGPT and DALL-E in workflow processes, and the assurance of accurate aesthetic representation.

#Critical Thinking #Creative Writing

Probabilistic Graphical Models Specialization

Acquire a novel approach to learning and reasoning in intricate fields.

#Inference #Bayesian Network

ML Algorithms: Supervised Learning Tip to Tail

This course concentrates on the fundamentals of machine learning, including decision trees, k-nearest neighbors, and support vector machines. It addresses data preparation and production challenges and requires a rudimentary understanding of Python, linear algebra, and statistics.

#Machine Learning #Supervised Learning

Compare & Review AI Tool Directory AI Course Marketplace