Basic-TensorFlow

Initialization and Casting

• Basic concept about tensors (Dimension, Shape, Data Type)
• Casting method with tensors
• Methods to create special tensors (Eye, Ones, One_like, Zeros, Fill)
• Normal & Uniform distribution

Indexing

• The conceot to implement indexing in tensors from different dimensions

Math Operations

• Simple calculating operation methods
• The concept of broadcasting
• Useful methods (Abs, Maximum, Minimum, Argmax, Argmin, Equal, Pow)
• Other methods (Reduce_sum, Reduce_mean, Sigmoid, Top_k)

Linear Algebra Operations

• Multiply Matrix (Matmul)
• Transpose tensor (Transpose)
• Band_part method
• Inverse matrix (Inv)
• Singular value decompositions (Svd)
• Einsum Method

Common Tensorflow Functions

• Expand Dimensions Method (Expand_dims)
• Squeeze Method
• Reshape Method
• Concatenate Method (Concat)
• Stack Method
• Pad Method
• Gather Method
• Gather N-Dimensions Method (Gather_nd)

Ragged Tensors

• Definition
• Boolean Mask Method (Boolean_mask)
• From Row Lengths Method (From_row_lengths)
• From Row Limits Method (From_row_limits)
• From Row Splits Method (From_row_splits)
• From Tensor Method (From_tensor)

Sparse Tensor

• Definition
• To Dense Method (To_dense)

String Tensor

• Definition
• Join Method
• Length Method

Variable

• Definition
• Assign Sub Method (Assign_sub)
• Assign Add Method (Assign_add)
• Device Method