#117 Machine Learning & Data Science Challenge 117
What are the benefits of TensorFlow over other libraries? The following benefits are: • Scalability • Visualisation of Data • Debugging facility • Pipelining
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A mountain hiker, space enthusiast, and technology aficionado who transitioned into a career as a data scientist.
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#116 Machine Learning & Data Science Challenge 116
What is the difference between CNN and RNN? CNN (Convolutional Neural Network): • Best suited for spatial data like images. • CNN is powerful compared to RNN. • This network takes a fixed type of inputs and outputs. • These are ideal for video and im...
#115 Machine Learning & Data Science Challenge 115
What is a Pooling Layer? It is generally used in reducing the spatial dimensions and not depth, on a convolutional neural network model.
#114 Machine Learning & Data Science Challenge 114
What is Keras? It is an Open Source Neural Network library written in Python that runs on top of Theano or TensorFlow. It is designed to be modular, fast, and easy to use. It was developed by François Chollet, a Google engineer
#113 Machine Learning & Data Science Challenge 113
What are the very important steps of Tensorflow architecture? There are three main steps in the Tensorflow architecture are: • Pre-process the Data • Build a Model • Train and estimate the model
#112 Machine Learning & Data Science Challenge 112
What are the use cases of TensorFlow? TensorFlow is an important tool of deep learning, it has mainly five use cases, and they are: • Time Series • Image recognition • Sound Recognition • Video detection • Text-based Applications
#111 Machine Learning & Data Science Challenge 111
List a few limitations of Tensorflow. • Has the GPU memory conflicted with Theano if imported in the same scope? • It has dependencies with other libraries. • Requires prior knowledge of advanced calculus and linear algebra along with the pretty goo...
#110 Machine Learning & Data Science Challenge 110
What are the advantages of TensorFlow? • It allows Deep Learning. • It is open-source and free. • It is reliable (and without major bugs) • It is backed by Google and has a good community. • It is a skill recognized by many employers. • It is easy to...
#109 Machine Learning & Data Science Challenge 109
What are the features of TensorFlow? • One of the main features of TensorFlow is its ability to build neural networks. • By using these neural networks, machines can perform logical thinking and learn similarly to humans. • There are other tensors fo...
