16 Best Deep Learning Tutorial for Beginners 2019 Digital Learning Land

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Do you want to add deep learning as your skill? We are with the best Deep Learning Tutorials for Beginners and Advanced, course, and certification. We are leaving in the era of machines. It is replacing the traditional ways of working. From a simple alarm clock to artificial intelligence, people are using machines in every sector of life. With the growth of using machines, the need to control and understand machines have grown. So, the skill of machine learning is in super demand. Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks. The internet can offer you an uncountable amount of courses on deep learning. We have searched and found the few best Deep Learning tutorial for beginners and advanced level. Here, are the best Deep Learning certification and training for you. Coursera is offering this special course for those who want to master Deep Learning and start a career in machine learning. This 100% online course will take 3 months to complete.


FarmWise Raises $14.5M for Autonomous Weeding Agriculture Robot

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FarmWise announced today that it has raised a $14.5 million Series A round of funding for its autonomous agriculture robots. The round was led by Calibrate Ventures with participation from Wilbur Ellis, Xplorer Capital and Alumni Ventures Group. This brings the total amount raised by FarmWise to $20.2 million. Farmwise builds self-driving robots that use a combination of computer vision and AI to identify weeds among crops and precision mechanical tools to remove them without the need for herbicides. According to the press release sent to The Spoon, FarmWise says its robots have removed weeds from more than 10 million plants.


Project14 Vision Thing: Build Things Using Graphics, AI, Computer Vision, & Beyond!

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Enter Your Project for a chance to win an Oscilloscope Grand Prize Package for the Most Creative Vision Thing Project! There's a lot of variety with how you choose to implement your project. It's a great opportunity to do something creative that stretches the imagination of what hardware can do. Your project can be either a vision based project involving anything that is related to Computer Vision and Machine Learning, Camera Vision and AI based projects, Deep Learning, using hardware such as the Nvidia Jetson Nano, Pi with Intel Compute Stick, Edge TPU, etc. as vimarsh_ and aabhas suggested. Or, it can be a graphics project involving something graphical such as adding a graphical display to a microcontroller, image processing on a microcontroller, image recognition interface a camera to a microcontroller, or FPGA - camera interfacing/image processing/graphical display as dougw suggested.


Regional Tech Updates

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For over 300 years, the Alamo City has been a dynamic platform for technological innovation and global commerce. Tech Port SA, offered by Port San Antonio, rounds-up the latest stories chronicling the region's movers and shakers in advanced industries.


How this 11-year-old entrepreneur is helping kids learn AI concepts and coding with CoderBunnyz

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A Class 6 student, Samaira Mehta already seems to be on top of her game. Of Indian origin and based in California, this 11-year-old girl in tech is an inventor, and has invented CoderBunnyz, a STEM coding board game to teach coding to kids between the age group of four and 10. Samaira has taken Silicon Valley by storm and has been a part of more than 50 conferences. She has held 60 workshops that spotlight her board game, and taught over 2,000 kids, including over 50 "Google kids" at Googleplex, Google's headquarters in Mountain View. The young girl also received a letter from the White House, from then First Lady Michelle Obama, for her work.


How AI learns the biases of its creators

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Facial recognition software that struggles to see black faces. A risk assessment algorithm with embedded racial biases. While artificial intelligence promises efficiency, and will likely determine which company wins market leadership, the technology also has an ugly side. Human hands can transfer prejudice onto the algorithms they create. But AI products don't become bias-infused at random, analysts and executives say.


Artificial Intelligence Basics - A Non-Technical Introduction Tom Taulli Apress

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While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success. Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact. Author Tom Taulli provides an engaging, non-technical introduction to important concepts such as machine learning, deep learning, natural language processing (NLP), robotics, and more. In addition to guiding you through real-world case studies and practical implementation steps, Taulli uses his expertise to expand on the bigger questions that surround AI.


Best Practices for Designing a Conversational Chatbot

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Designing a conversational experience requires a set of best practices that go beyond the natural language understanding and personality of your chatbot. You will need to account for unexpected scenarios, interruptions, ambiguities and other situations that are the norm when having a conversation in real life. When we started creating Kinvey Chat, a platform for building chatbots, we decided to follow an opinionated approach that leads chatbot developers through a set of best practices. Let's take a look at what we deem important as best practices in designing state of the art conversational experiences. Make it a personality with its own character that is aligned with the voice of your brand.


Google sets up Artificial Intelligence research lab in Bengaluru

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New Delhi: Google on Thursday said it is setting up an artificial intelligence research unit at Bengaluru as the tech giant looks to continue developing products for India and taking them to global markets. Google Research India, the artificial intelligence (AI) lab, will focus on advancing fundamental computer science and AI research. Apart from the Google team led by AI scientist Manish Gupta, the company will also partner with the research community across the country to focus on tackling challenges in fields like healthcare, agriculture, and education. "We are incredibly inspired by India. With a world-class engineering talent, strong computer science programs and entrepreneurial drive, India has the potential to contribute to advancements in AI and its application to tackle big challenges," Google Vice President Next Billion Users and Payments Caeser Sengupta said.


Alabama's Artificial Intelligence Commission getting started

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The state's new 25-member commission on Artificial Intelligence (AI) and Associated Technologies picked its leadership and areas of focus in its first meeting. Commerce Secretary Greg Canfield was elected chairman and State Sen. Jabo Waggoner (R-Vestavia Hills) will serve as vice-chairman. Waggoner proposed a joint resolution creating the commission in the last legislative session, which Gov. Kay Ivey approved. The commission is expected to examine several areas of focus, such as how schools and universities can develop AI-educational programs and privacy issues for consumers. It will meet over the next seven months and deliver a report to Ivey in May 2020 on how AI can benefit the economy.