What are the best ways to learn ANN for Machine Learning without a degree?

Focus on understanding the basics. Most advanced concepts can be heavily simplified as a combination of the basic principles. Without those, your growth will quickly plateau.

ANN is a concept of deep learning. Before you jump into the ANN study, it is recommended that you have some basic knowledge of machine learning. Go to literature for learning the basics of ML is Andrew Ng's course on coursera. After learning about that you can start diving into deep learning. One should start with the basics of deep learning. Why did we need DL in the first place? How it works etc. There are plenty of youtube videos out there to explore these topics or you can just ask chatGPT about that. ??

You can browse through tons of video from the youtube for understanding ANN. But a better approach is to enroll in a course,say by udemy or edx or coursera. These are some of the platforms that provides the knowledge. Courses are paid as well as free.some of them also provide certificate of completion. There are also books and e-books available for the same. Most important thing is that you do hands-on. You don't have to be a rocket scientist?? to learn AI, you just have to be your curious and determined self.??

I made my foray into Machine Learning and subsequently ANNs by reading books on it rather than courses. One particular book I want to mention is "Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow" by Aurélien Geron. It neatly explains the history behind ANNs and their inner working, followed by great code examples to implement ANNs in practice using TensorFlow. This book played a pivotal role in my understanding of ANNs and other Machine Learning and Deep Learning concepts and has helped me clear ML interviews! Other notable books are "Deep Learning with Python" by Fran?ois Chollet, and "Deep Learning with PyTorch" by Eli Stevens, Luca Antiga, and Thomas Viehmann. Do check these amazing books out!

Hands-on is the most important part of learning AI. - Pick a project, - Understand the agenda throughly, - Understand the data, - Start experimenting with the AI models. - Calculate the accuracy and verify the results. - See the techniques using which you can improve accuracy. - Keep the experimenting until you reach your desired accuracy. - Go through all the data if needed. There are platforms like kaggle, DrivenData, CROWDANALYTIX etc. Start with lower difficult level then climb up the ranks.

Communities and forums are not a good choice to learn ANN. But it’s a best place to get the latest trends, experiences and techniques related to the ANN. I would recommend books like Andrew Ng Deep Learning and online courses for gaining knowledge without a degree.

You don't need a degree to learn AI but you do need patience of high degree. AI is not a job of one day or one week, it takes months even years to achive the desired accuracy in some cases. Hope it helps!

The path to mastering Artificial Intelligence, including neural networks (ANN), doesn't always require a formal education in the field. Even with a background in mechanical engineering, I've found my way into deep learning, machine learning, and AI. The key is relentless self-learning, irrespective of your academic qualifications. AI evolves constantly with new research and knowledge, demanding perpetual self-updating. Cultivate the habit of self-directed learning and make the internet your university; it's a treasure trove of knowledge. Start with deep learning AI courses like Andrew Ng's on Coursera for foundational understanding.Having a mentor from the outset accelerates your learning journey. Beware of falling into tutorial limbo.

Grow your business skills on the side. Learning AI is a long process, and if you want to be able to have a great impact early, knowing WHAT to focus on is as important as having the skills to create it. Every day, new tools come out that simplify learning and coding. This means that the barrier to creating a product is getting lower. Thus, creating something meaningful is more important now than ever.

To master Artificial Neural Networks (ANN) without a formal degree, explore courses like Andrew Ng's "Deep Learning Specialization" on Coursera and books such as "Deep Learning" by Goodfellow for foundational knowledge. Complement these with free resources on platforms like Khan Academy and YouTube for additional support. Gain hands-on experience by practicing on platforms like Kaggle and TensorFlow Playground. Diversify your learning with specialized courses like those on Fast.ai, and notably, consider NPTEL's deep learning course by Mitesh Khapra for a structured and comprehensive understanding. This course provides a valuable addition to your learning journey, offering in-depth insights into deep learning concepts.