7.6. Mathematical Functions and Operators Mathematical Operators Mathematical Functions Statistical Functions Trigonometric Functions Floating Point Functions 7.6. Mathema...

2-3,自动微分机制 一，利用梯度磁带求导数 二，利用梯度磁带和优化器求最小值 2-3,自动微分机制 神经网络通常依赖反向传播求梯度来更新网络参数，求梯度过程通常是一件非常复杂而容易出错的事情。 而深度学习框架可以帮助我们自动地完成这种求梯度运算。 Tensorflow一般使用梯度磁带tf.GradientTape来记录正向运算过程，然后反播...

Usage of activations Available activations elu softmax selu softplus softsign relu tanh sigmoid hard_sigmoid exponential linear On "Advanced Activations" Usage of ...

Mathematics Mathematical Operators Mathematical Functions Examples Customizable binary operators Mathematics Mathematical Operators -( x ) Unary minus operator. Examp...

Imports Types Procs Iterators Source Edit This module implements an interface to Nim’s runtime type information (RTTI). See the marshal module for an example of what t...

Multi-Threading Synchronization Atomic operations ccall using a threadpool (Experimental) Low-level synchronization primitives Multi-Threading Base.Threads.@threads — Mac...

Multi-Threading ccall using a threadpool (Experimental) Low-level synchronization primitives Multi-Threading This experimental interface supports Julia’s multi-threading capa...

Mathematical Operations and Elementary Functions Arithmetic Operators Bitwise Operators Updating operators Vectorized “dot” operators Numeric Comparisons Chaining comparisons ...

Mathematics Mathematical Operators Mathematical Functions Examples Mathematics Mathematical Operators Base.:- — Method. -( x ) Unary minus operator. Examples juli...

数学运算和初等函数 算术运算符 位运算符 复合赋值操作符 矢量化 "dot" 运算符 数值比较 链式比较 初等函数 运算符的优先级与结合性 数值转换 舍入函数 除法函数 符号和绝对值函数 幂、对数与平方根 三角和双曲函数 特殊函数 数学运算和初等函数 Julia 为它所有的基础数值类型，提供了整套的基础算术和位运算，也提...