The creative revolution is about empowering individuals to express themselves in new and unique ways, and promoting diversity and inclusivity in the arts. It involves breaking free from traditional forms and established norms, and encouraging experimentation, innovation, imagination and originality. To unleash the power of creativity, let’s discuss a contrastive…

In the field of Software Development, good coding patterns and practices are something which are religiously followed. They help make code more readable and understandable. They provide a consistent structure and organization, making it easier to follow the logic of the code and understand how it works. This can make…

The choice of optimization algorithm can depend on several factors, including the specific problem you’re trying to solve, the size and complexity of your dataset, and the resources (such as computational power and memory) that you have available. Batch SGD with Momentum is a good choice for problems that have…

Pytorch library is one of the go-to framework used these days for implementing neural networks or deep learning models. These models have various computational layers which are at times specific to the task & modality(conv1d, conv2d, rnn, lstm, gru, transformer etc.) and at times are generic(batch-norm, dropout, linear etc.). …

Hi fellow Deep Learning researchers, We train various deep learning models day-in and day-out paying attention to minute details possible while designing neural network architectures, taking input data, writing training loops and using evaluation strategy to test our proposed methodologies. …

The heart of Pytorch DL Framework are its functional APIs which give access to various Neural Layers ranging from linear, convolution to recurrent ones. Also provides basic regularization layers like dropout, batch-norm, pooling and many others. It gives access to use range of optimisers and learning rate schedulers along with…

The dominant approach to creating ML systems is to collect a dataset of training examples demonstrating correct behaviour for a desired task, train a system to imitate these behaviours, and then test its performance on independent and identically distributed (IID) held-out examples. These metrics say Cross-validation score are not the…

Language modelling is the task of generating next word given previous words of a sequence such as Autocomplete working in our mobile phones. Mathematically, it could be written as y* = argmax_y P(y_t | y_<t) Sequence-to-Sequence is a similar task where we generate response sentence in some language given the…

Transformer architecture is famous for a while having precisely designed components in itself such as Encoder-Decoder stack, self-attention, multi-headed attention and positional encoding. …