Transition from ML to DL

In all Machine Learning models, there’re some kind of data which are required to be analyzed with all the Data Science tools in our arsenal, which then are fed to a certain model to be trained in with various techniques such as Ensemble classifiers, Ensemble regressions, Logistic regressions etc. in case of an structured data especially. The data is one file mostly labeled and structured. Most people think that machine learning is the end and don’t march forward to the advanced part where deep learning takes the command. Some people are not aware and the rest find it difficult and cumbersome. We at Industry360 have curate courses that deliver the knowledge required in the industry from basic through intermediate to advance. Since we are the best Python Training Institutes in India it becomes our responsibility to spark enlightenment for the aspirants wishing to make their career in this industry

 

The complications arise to a different level when it comes to unstructured data such as images, audio, video etc. So, now something comes at rescue which is known as Neural Network. A neural network can be regarded as a Deep Learning model built over various complementary models called neurons after going through the input layer where all neurons represent the input data points fed into the network. Since, here we don’t have a straight forward labeled data, we need to make the model analyze the patterns in the data and learn the underlying trends in there by assigning some weights to each of the input data points initially. Then, the outputs are passed through an activation function which processes the outputs and forwards them to the next layers in the network (called hidden layers). Finally, there’s an output layer in the end which produces the desired results e.g., classification of objects etc. This is not the end of it again and a detailed explanation as well. You need a proper framework to understand it that well. After all these are the efforts put forward by many teams and researchers combined together for years and then one algorithm is finalized. So to explain it to the fullest you need hand holding and proper mentoring for industry application. Our team at Industry360 comprises of professionals who have curate the best in class courses used for data science online training in india.  

 

So, basically, the main challenge lies at the very beginning which is getting our data ready. This step is technically known as pre-processing or data cleansing. The more effort you put here the better is your result. It is said that the model building cycle is 80percent of data prep. The unstructured data like images need to be transformed appropriately via some tools for example tensor flow i.e., converts the data into tensors. Secondly, as mentioned in the above paragraph, the DL model is a complex(‘deep’) network of neurons each representing a kind of sub-model in the hidden layers. You need to understand which activation function to be used along with the loss function and the learning rate. Else the machine does not default and you don't get that much of a good result on the accuracy measure. We at Industry360 focus on the fundamentals and the application to the core so as to get the best for industry. The never compromising quality feature makes us best institute for data science in india.

Finally, the main line of transition can be realized by looking at the fact that an ML model needs to be re-experimented and revised for the betterment of results for newly arrived data if inaccuracy arises, whereas with DL model, we can sit back and watch how its own neural network figures out the the best output to be given for any incoming input data. For example, the Deep Blue AI was getting trained going through all the chess games played in the past and also trained via playing with the current GMs of chess, and then finally, it defeated Garry Kasparov in the 1990s. The model was the same, the network was the same, but with the novelty in the games coming in, it kept figuring out the pattern on its own. Keep on evolving is the short message that deep learning has to teach to all of us. Start off with our well curate course for beginners which are also ranked as the best online data analytics courses in india.