Deep learning, we can say is another branch artificial intelligence that falls under the realm of machine learning. This process focuses on teaching computers what comes to humans naturally by mimicking the functioning of human brain as the machine tries to learn things using unstructured data.
Deep learning architectures uses artificial neural network to learn and process data, similar way as to how the biological neuron works. Unlike the biological neuron, Artificial neurons are static are symbolic whereas the former is dynamic.
The structure of a deep learning network is fairly simple as it is constituted of ANNs. While traditional neural networks have 2-3 hidden layers, Deep learning Neural networks can have up to 150 hidden layers. In deep learning artificial neural network, we have an input layer (the primary layer), a hidden layer (consists of all the middle layers) and the output layer (the final layer). Depending upon our need and different types of layers associated with the network, there are multiple different kinds of ANNs like RNN, CNN, Modular neural network, etc.
Some commonly used deep learning networks are
Deep learning is implemented in the field of medicine, software, finance, law enforcement and more. Some prominent implementations of deep learning are in
It is quite natural to wonder why python is used to implement deep learning, and the answer is almost always the same. The open-source nature of python, tons of libraries that has solutions for ever problem to choose from, a very supportive community backing up developers along with smooth implementation and integration.
Graduates with a Bachelor’s degree engineering can earn around Rs. 3.5 – 6 LPA, whereas those having a postgraduate degree can make about Rs. 5 – 7.3 LPA.
Mid-level Deep Learning Engineers having more than eight years of work experience can earn an average annual salary of Rs. 7 – 12 LPA, whereas senior-level professionals having over 15 years of field experience can command salaries ranging between Rs. 25 – 48 LPA and more
The complete deep learning advanced with python course will navigate you through TensorFlow, Keras, Pytorch, scikit learn and other deep- learning libraries. This course will take you on a deep dive into the important aspects of problem solving through machine learning and at the end of this you’ll be confident enough to take on projects by yourselves, build masterclass deep learning models, prototypes so on and so forth
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Learn Python. Enroll now Which programming language you should learn and why? Gone are the days when we heard about the growing popularity of programming languages such as Java, C, C++, and C#. Even though these are still relevant, with the changing times emerging technologies such as Artificial Int...