What Is RoadMap For Deep Learning
Hello, Guys Today we are going to explore the World Of deep Learning and Some Important Aspect of Deep Learning. We Exlpolring, What is the best way to learn Deep Learning in an efficient way (RoadMap)? , Which are the Best Programming languages for Deep Learning? Which are the best Libraries for Deep Learning? Which Project should do on deep Learning ?, So let's Explore.
-Introduction To Deep Learning
-How Much Math Is Required For Deep Learning
The Deep Required the Math portion For Prediction and find the best solution to a given problem. Deep Learning required the math portion of Statistics, Probability, Differential Calculus & graph theory. In Deep Learning, Machine Leaning math is Important while programming and thinking the logic for the solution of a given problem. For Beginners to start Machine learning and Deep learning, Then Start the math First and then Go for any languages and their ML & DL algorithms.
-Which Programming Language is Best For Deep Learning
-Which are the Best Libraries For Deep Learning
TensorFlow, Pytorch, Theano & OpenNN are some best Libraries for deep Learning. Among these, the TensorFlow is best Because TensorFlow is used for both Ml & DL. The Numpy is a python library that is used for mathematical operation. Pytorch library is used a facial recognition system. The library is helping to reduce the calculation & code implementation. The Deep learner can easily learn things due to the library. For the Deep learner should learn the important library which is important.
-Advanced Deep Learning
The Deep Learning Is the Aspect of The Artificial Intelligence and Machine Learning. For The Machine LEarner and AI learner, This is an important concept for developing the AI model. Deep Learning is Also a Concept of Data science. To learn Data Science, we need to learn all stuff regarding Machine Learning, Deep Learning, Artificial Intelligence. Deep Learning consists of many libraries which help to reduce the effort to develop a specific model. Deep Learning is like a human brain, The Human brain is always learning from something like any event that happens in life, The result of that event will get learn and analyzed by the Brain, Just like that Deep Learning, learn automatically from a certain condition. This makes the Robot get their own brain so that they don't need to an operator to operate and pass the command.