A tuple is an assortment of items which requested and permanent. Tuples are successions, very much like records. The contrasts among tuples and records are, the tuples can't be changed not normal for records and tuples use enclosures, though records utilize square sections. Making a tuple is pretty much as straightforward as putting diverse comma-isolated qualities. Alternatively you can put these comma-isolated qualities between enclosures moreover. For instance − tup1 = ('material science', 'science', 1997, 2000); tup2 = (1, 2, 3, 4, 5 ); tup3 = "a", "b", "c", "d"; The void tuple is composed as two enclosures containing nothing − tup1 = (); To compose a tuple containing a solitary worth you need to incorporate a comma, despite the fact that there is just one worth − tup1 = (50,); Like string files, tuple records start at 0, and they can be cut, linked, etc. Getting to Values in Tuples To get to values in tuple, u...
One of the most important part of deep learning is training the neural networks. So, let's learn how it actually works. In this article, we will try to learn how a neural network gets to train. We will also learn about feedforward method and backpropagation method in Deep Learning. Why training is needed? Training in deeplearning is the process which helps machines to learn about the function/equation. We have to find the optimal values of the weights of a neural network to get the desired output. To train a neuralnetwork , we use the iterative method using gradient descent. Initially we start with random initialization of the weights. After random initialization of the weights, we make predictions on the data with the help of forward-propagation method, then we compute the corresponding cost function C , or loss and update each weight w by an amount proportional to dC/dw , i.e., the derivative of the cost functions w.r.t. the weight. The proportionality constant is kn...