Deep Learning is a developing topic in the domain of AI or Artificial Intelligence and is being increasingly used in fields such as gaming and computer vision to beat human brain and its abilities. If you are new to Deep Learning or DL as it is known commonly, there are several avenues available for you to explore the field and the technology further. It is important that you know the basics of Machine Learning before you take the dive into Deep Learning.
Before you make the next move ahead, you will need the requisite hardware to support your efforts. These must include GPU with 4 GB plus, CPU of any reputed brand and at least 4 GB of RAM. You can find hardware guide online or you can take the help of experts to get this one right.
The next step is to visit the deep learning libraries. There are several of them online so choose carefully and select those that can add to your knowledge. There are videos too available online to help you get a fair picture of this technology. You will also come across many free machines and deep learning courses online. While they are good to provide you an overall perspective on deep learning, it is unlikely that such free courses will add any value to your learning efforts. The same holds true for crash courses. So, as far as possible, steer clear of them.
If you are planning to take up DL for programming, there are several languages to start with including Java, Ruby, and Python. The last-mentioned is growing in demand so when it comes to choosing the language, this bit of information might come in handy. You can also do Deep Learning without Java. Look at various Beginners’ Guide available online and choose one that best suits your needs.