Deep Learning with TensorFlow
Learn how to build a neural network and how to train, evaluate and optimize it with TensorFlow
Classes : 20 Days : 2 months Duration : Weekdays / Weekends
Learn how to build a neural network and how to train, evaluate and optimize it with TensorFlow.
TensorFlow is the second machine learning framework that Google created and used to design, build, and train deep learning models. You can use the TensorFlow library do to numerical computations, which in itself doesn`t seem all too special, but these computations are done with data flow graphs. In these graphs, nodes represent mathematical operations, while the edges represent the data, which usually are multidimensional data arrays or tensors, that are communicated between these edges.
If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.
The Machine Learning course and Deep Learning Specialization teaches the most important and foundational principles of Machine Learning and Deep Learning.
This new deeplearning.
ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems.
To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.
TensorFlow is the second machine learning framework that Google created and used to design, build, and train deep learning models. You can use the TensorFlow library do to numerical computations, which in itself doesn`t seem all too special, but these computations are done with data flow graphs. In these graphs, nodes represent mathematical operations, while the edges represent the data, which usually are multidimensional data arrays or tensors, that are communicated between these edges.
If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.
The Machine Learning course and Deep Learning Specialization teaches the most important and foundational principles of Machine Learning and Deep Learning.
This new deeplearning.
ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems.
To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.
-You have hands on exp with ML / Hadoop technologies with a genuine interest in DL.
-You need to know basic python such as lists, dictionaries, loops, functions and classes
- You need to know basic differentiation
- You need to know basic algebra
-You need to know basic python such as lists, dictionaries, loops, functions and classes
- You need to know basic differentiation
- You need to know basic algebra
Introduction
Installation and Setup
What is Machine Learning?
Crash Course Overview
Introduction to Neural Networks
TensorFlow Basics
Convolutional Neural Networks
Recurrent Neural Networks
Miscellaneous Topics
AutoEncoders
Reinforcement Learning with OpenAI Gym
GAN - Generative Adversarial Networks
Installation and Setup
What is Machine Learning?
Crash Course Overview
Introduction to Neural Networks
TensorFlow Basics
Convolutional Neural Networks
Recurrent Neural Networks
Miscellaneous Topics
AutoEncoders
Reinforcement Learning with OpenAI Gym
GAN - Generative Adversarial Networks
Leave A Review
NLP
Natural Language Processing; Confluence of Artificial Intelligence and linguistics. It involves intelligent analysis of written language
xgBoost
The new queen of Machine Learning algorithms taking over the world...
ChatBots
Learn how to build smart chatbots powered by A.I.
Recommender Systems
Innovative AI Recommendation Engine at your tips
Anomaly Detection
Why Real-Time, AI-Based Anomaly Detection Is a No-Brainer ?
Intelligent Personal Assistant
Making Intelligent Virtual Assistants a Reality. Join us Today and we show you the magic !
OCR
Optical Character Recognition using A.I.
Image Classification
Is it really that difficult for a computer to distinguish cats from dogs ? Want to learn more ?
Voice Assistant
Inside the hype and reality of Alexa, Siri and the voice ...
Hadoop Batch
Learn how various components of the Hadoop ecosystem fit into the Big Data processing lifecycle
Spark
Taming Big Data with Apache Spark, hands-on
Flink
A real time and hands-on course on Flink
Storm
A complete Apache Storm Tutorial from scratch
BlockChain
Build your first end to end Blockchain
SAS
Simply SAS Made Easy. SAS Programming, SAS Reporting, SAS Data Analysis
Tableau
Learn Tableau 10 for Data Science step-by-step. Real-Life Data Analytics. Learn by doing!
QlikView
Become an expert in Data Visualization with Qlikview
Power BI
Beginner Course on Power BI : Business Intelligence & Data/Business Analysis with Microsoft Power BI
Learning Pentaho
Learn how to create a BI Dashboard from the beginning using Pentaho
Excel VBA
The complete course for Beginners; unlock excel VBA and macros
DWH ETL
Data Warehousing and ETL From Scratch, trainer is an experienced Solution Architect
AWS
Learn practical Amazon Web Services (AWS) cloud by industry experts
Google Cloud Platform
From Data to Insights with Google Cloud Platform (GCP)
Azure
Detailed hands on Microsoft Azure course with lots of lab demos on how to deploy and manage Azure services
Python Advanced
Expose yourself to Advanced Python Techniques and Methods Required as a Data Scientist
Machine Learning using Python
Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!
R For Data Science
This Comprehensive Training will help you become an expert in R programming. Take a deep dive in the mysteries of RStudio.
Machine Learning using R
Build a Portfolio of 12 Machine Learning Projects using R, SVM, Regression, Unsupervised Machine Learning & More!
Maths for Data Science
Linear Algebra, Statistics, Calculus, & Probability. Together these 4 branches of Maths are the four foundational pillars of everything in Data Science domain
Statistics for Managers
Statistics and Probability form the core of Business Analytics, widely used to analyze, visualize, interpret data and discover insights
Python For Managers
Learn Python like a Professional! Complete Python Bootcamp: Go from zero to hero in Python 3
Business Analytics for Managers
Make Data-Driven Business Decisions. Develop the analytical skills to turn data into actionable solutions to solve business problems
Artificial Neural Networks (ANN)
The Ultimate Training for Artificial Neural Networks (ANN)
Convolutional Neural Networks (CNN)
The Ultimate Training for Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN)
The Ultimate Training for Recurrent Neural Networks (RNN)
GPU Computing with CUDA and Python
Become an expert of Multi-GPU programming with CUDA. CuPy & NVLink
Machine Learning for Text and Image Data
Empower yourself with the sufficient knowledge and experience to perform analysis for Text and Image data using Machine Learning
Feature Engineering
Gain expertise to pre-process, prepare, clean up, extract and engineer new features from the raw and time-series data
Reinforcement Learning
A fun and hands-on introduction to RL with Python, enabling you to create intelligent machines and Deep RL
Deep Reinforcement Learning
Combine the power of Reinforcement Learning with Deep Learning to solve complex problems in various domains
Mastering AI Tools
Unlock Your Creative Potential: A Comprehensive Guide to Harnessing the Power of AI Tools for Success & Productivity
AWS SageMaker
Build, train, and deploy machine learning models for any use case with fully managed infrastructure, tools, and workflows
Build a Large Language Model
Learn to build LLMs from scratch
Student Reviews
Bhawana
Fabulous NLP + ML course
I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.
Harish
Excellent ML course!
The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.